Alternatives to VictoriaMetrics Anomaly Detection
Compare VictoriaMetrics Anomaly Detection alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to VictoriaMetrics Anomaly Detection in 2026. Compare features, ratings, user reviews, pricing, and more from VictoriaMetrics Anomaly Detection competitors and alternatives in order to make an informed decision for your business.
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Edge Delta
Edge Delta
Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.Starting Price: $0.20 per GB -
2
Splunk Enterprise
Cisco
Splunk Enterprise is a powerful platform that turns data into actionable insights across security, IT, and business operations. It enables organizations to search, analyze, and visualize data from virtually any source, providing a unified view across edge, cloud, and hybrid environments. With real-time monitoring, alerts, and dashboards, teams can detect issues quickly and act decisively. Splunk AI and machine learning features predict problems before they happen, improving resilience and decision-making. The platform scales to handle terabytes of data and integrates with thousands of apps, making it a flexible solution for enterprises of all sizes. Trusted by leading organizations worldwide, Splunk helps teams move from visibility to action. -
3
Amazon CloudWatch
Amazon
Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior. -
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VictoriaMetrics Cloud
VictoriaMetrics
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups. We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance. It comes with the following features: It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana; Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other; VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks; Automated backups;Starting Price: $190 per month -
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VictoriaMetrics Enterprise
VictoriaMetrics
VictoriaMetrics Enterprise is a commercial solution designed by the creators of VictoriaMetrics for complex monitoring and observability setups. It's ideal for organizations with mission-critical, large, or rapidly scaling monitoring environments. The Enterprise version includes all the features of the community edition plus additional enhancements such as Downsampling Automated Backups / Backup Manager Data Retention per Label/Tenant Multi-Tenant Statistic & Rate Limiting Anomaly Detection. It offers stable releases with long-term support, ensuring critical bug fixes and security patches. Enterprise security compliance and prioritized feature requests are also part of the package. We help you to reduce storage costs and boost performance for historical data queries. Multiple retentions allow different storage durations for various datasets. Automatic discovery of storage nodes updates the list at insert and vmselect without restarting services.Starting Price: $0 -
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VictoriaMetrics
VictoriaMetrics
VictoriaMetrics is a fast and scalable open source time series database and monitoring solution. It's designed to be user-friendly, allowing users to build a monitoring platform without scalability issues and with minimal operational burden. VictoriaMetrics is ideal for solving use cases with large amounts of time series data for IT infrastructure, APM, Kubernetes, IoT sensors, automotive vehicles, industrial telemetry, financial data, and other enterprise-level workloads. VictoriaMetrics is powered by several components, making it the perfect solution for collecting metrics (both push and pull models), running queries, and generating alerts. With VictoriaMetrics, you can store millions of data points per second on a single instance or scale to a high-load monitoring system across multiple data centers. Plus, it's designed to store 10x more data using the same compute and storage resources as existing solutions, making it a highly efficient choice.Starting Price: $0 -
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VictoriaLogs
VictoriaMetrics
VictoriaLogs, an open-source log database from VictoriaMetrics, is designed to be user-friendly. It seamlessly integrates with widely used log collectors and offers a more straightforward setup process than Elasticsearch and Grafana Loki. The robust LogsQL query language provides full-text search capabilities across all log fields, simplifying log management. It scales impressively with CPU, RAM, disk IO, and space, running efficiently on Raspberry Pi and high-end servers. It handles data volumes up to 30 times larger than Elasticsearch and Grafana Loki on the same hardware, making it a powerful choice for various environments. VictoriaLogs supports fast full-text search over high-cardinality log fields like trace_id, user_id, and IP. It works seamlessly with traditional Unix log analysis tools like grep, less, sort, and jq. It also offers multi-tenancy support, accommodating diverse needs.Starting Price: $0 -
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Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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AiOpsX
XPLG
Deep Text Inspection, anomaly detection, clustering. Cutting edge AI that scans all log data and streams insights and alerts. ML clustering that detects new errors, unique risk KPI and more. Pattern recognition and discovery. Anomaly detection for data, risk and content monitoring. Integration with Logstash, ELK and others. AiOpsX deployed in minutes on any log data and augmentד existing monitoring and log analysis tools with millions of smart eyes. Security, performance, audit, errors & problems, trends, anomalies, and much more! Unique algorithms identify patterns and compute risk levels. Anomaly detection continuously scans risk level and performance data to identify outliers. The AiOpsX monitoring engine identifies new types of messages, errors, log volume changes, risk level spikes; and triggers reports and alerts for IT monitoring teams and app owners. -
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InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
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Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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Elastic Observability
Elastic
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.Starting Price: $16 per month -
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Avora
Avora
AI-powered anomaly detection and root cause analysis for the metrics that matter to your business. Using machine learning, Avora autonomously monitors your business metrics 24/7 and alerts you to critical events so that you can take action in hours, rather than days or weeks. Continuously analyze millions of records per hour for unusual behavior, uncovering threats and opportunities in your business. Use root cause analysis to understand what factors are driving your business metrics up or down so that you can make changes quickly, and with confidence. Embedded Avora’s machine learning capabilities and alerts into your own applications, using our suite of APIs. Get alerted about anomalies, trend changes and thresholds via email, Slack, Microsoft Teams, or to any other platform via Webhooks. Share relevant insights with other team members. Invite others to track existing metrics and receive notifications in real-time. -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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KloudMate
KloudMate
Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.Starting Price: $60 per month -
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Digna
digna GmbH
digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments. It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time. Core Capabilities * Data Anomaly Detection Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules. * Time-Series Analytics Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform. * Data Timeliness Monitoring Tracks expected data arrival times and identifies delays across pipelines and data flows. * Data Validation Supports rule-based validation with reusable templates and centralized definitions of allowed values. * Schema Change Tracking Detects structural changes in dat -
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Tanzu Observability
Broadcom
Tanzu Observability by Broadcom is a high-performance observability platform designed to monitor, analyze, and optimize cloud-native applications and infrastructure. It provides real-time visibility into the health, performance, and operations of complex applications by collecting and analyzing metrics, traces, and logs. Tanzu Observability leverages advanced AI and machine learning capabilities to detect anomalies and provide actionable insights, helping businesses proactively manage and optimize their digital environments. The platform’s scalable architecture supports large-scale deployments and offers deep insights into application performance, enabling faster troubleshooting and enhanced decision-making. -
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IBM Z Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems. Your essential services and applications must always be available in today's digital environment. For enterprises with hybrid applications, including IBM Z, detecting and determining the root cause of hybrid application issues has become more complex with rising costs, skill shortages, and changing user patterns. Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
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InsightCat
InsightCat
Full-stack monitoring platform for your software and hardware. InsightCat is a full-stack infrastructure monitoring solution to search, analyze, and aggregate system metrics in one place. The solution was developed to be intuitive and cover the most vital requests of DevOps, System administrators, SecOps, and IT specialists related to infrastructure monitoring, security, log management, etc. The solution allows you to perform: Infrastructure monitoring. Detect anomalies within your infrastructure to eliminate them as quickly as possible and prevent the system from repeating similar issues. Synthetic monitoring. Monitor your web services around the clock and be aware in advance of the critical downtimes if they occur. Log management. Work with your log data and keep up with the root cause of any software error, within one place. Smart alerting and escalation. Set up the flexible alerting system to keep the team informed if any spikes, errors or unordinary behavior.Starting Price: $1.99 -
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Amazon Lookout for Metrics
Amazon
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes. -
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cloudNito
cloudNito
cloudNito is an innovative AI-powered SaaS platform designed to help businesses of all sizes optimize their AWS cloud costs. Our solution combines real-time monitoring, advanced anomaly detection, and automated cost-saving actions to eliminate wasteful spending and improve cloud efficiency. Key features include: AI-driven cost anomaly detection Automated resource scaling and optimization Detailed cost allocation and reporting Predictive cost forecasting Customizable alerts and thresholds With cloudNito, companies can save their AWS bills, ensuring maximum value from their cloud investment.Starting Price: $99/Month -
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LotusEye
LotusEye
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.Starting Price: $13 per month -
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Tangent Works
Tangent Works
Drive business value from predictive analytics. Make informed decisions and improve processes. Create predictive models in seconds for faster and better forecasting & anomaly detection. TIM InstantML is a hyper-automated, augmented machine learning solution for time series data for better, faster, and more accurate forecasting, anomaly detection, and classification. TIM helps you to discover the business value of your data and enables you to leverage the power of predictive analytics. High-quality automatic feature engineering while simultaneously adapting the model structure and model parameters. TIM offers flexible deployment options. Easy integration with some of your favorite platforms. TIM offers a wide array of interfaces. Users looking for a streamlined graphical interface can find this in TIM Studio. Become truly data-driven with powerful, automated predictive analytics. Discover the predictive value in your data faster and easier.Starting Price: €3.20 per month -
24
Metaplane
Metaplane
Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.Starting Price: $825 per month -
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Digitate ignio
Digitate
Transform your operations across domains using AI and Automation towards an Autonomous Enterprise for improved resilience, assurance, and superior customer experience. Digitate’s ignio helps resolve your operational woes for an Agile, Resilient and Autonomous Enterprise. Businesses can adapt to changes efficiently, evolve digitally and unleash innovation to sustain and grow. With ignio, transform your IT and business operations’ from reactive to proactive, and take a leap forward to ‘Predict, Prescribe and Prevent.’ Learn how enterprises can elevate their business and IT operation strategy to make headway into an Autonomous Enterprise. Get started on your journey from Traditional to Automated to Autonomous Operations. Powered by AI and Machine Learning, Autonomous Operations allows enterprises to reduce manual efforts, adapt to business or IT changes efficiently with minimal cost and focus on innovation. -
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Anomalia
Scry AI
Anomalia® uses proprietary AI-Algorithms to identify potential fraud, risk, conflict and non-compliance in financial and legal engagements at transactional level. Anomalia® anomaly detection in ACH Transactions uses customer’s transactional as well as behavioral data to detect anomalies in ACH transactions and prevents fraudulent transactions. Anomalia® anomaly detection in mobile check deposits analyzes authenticity of mobile checks, accounts in which they are deposited and their geo-spatial mobile deposit locations to detect potential fraud in transactions. Anomalia® anomaly detection in wire transactions analyzes originators, beneficiaries and their anomaly scores derived from other wire transactions to detect and prevent potential frauds. Anomalia® anti money laundering performs analyzes on various transactions, entities and their linkages for enhanced due diligence to detect potential money laundering transactions. -
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Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
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PowerAI
Buzz Solutions
Robust software platform, REST APIs, analytics, and work prioritization to help you efficiently and accurately inspect energy infrastructure with powerful AI capabilities. Optimize your inspection with the highest accuracy. PowerAI makes inspections safer, more cost and time-efficient, and more collaborative than ever before. Embrace the future with AI-based visual data processing and keep your people, assets, and community safe. Our AI-based anomaly detection redefines accuracy and consistency in power infrastructure inspections with the most accurate visual data processing in the industry. This precision leads to 50-70% cost savings on data processing and visual anomaly detections as well as 50-60% time savings. We offer industry-leading accuracy for the detection of 27 different assets and asset anomalies. Our technology, driven by machine learning, redefines accuracy and consistency in power infrastructure inspections. -
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InfraSonar
InfraSonar
InfraSonar is an infrastructure monitoring solution that offers real-time performance monitoring, anomaly detection, and operations optimization. It is designed to be easy to use and adaptable to an organization's unique needs. Its modular setup allows for the easy addition of custom data collectors. InfraSonar also has an extensive API for integration with BI platforms for reporting purposes and supports various notification methods including SMS, WhatsApp, email, and voice calls. InfraSonar is a comprehensive multi-tenant solution designed to scale effortlessly to meet the diverse needs of any Managed Service Provider (MSP) or customer. Our platform offers an extensive set of industry best practices to get you started quickly and efficiently. However, we understand that every business has unique requirements, which is why InfraSonar allows you the flexibility to define your own conditions, views, and reports. -
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Prometheus
Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.).Starting Price: Free -
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NEMESIS
Aviana
NEMESIS: Next-generation AI-powered anomaly detection technology designed to recognize fraud and waste. NEMESIS: Next-generation AI-powered anomaly detection technology pinpoints efficiency opportunities in your business management systems. Powered by AI, NEMESIS is an enterprise-ready configurable business solution platform, empowering business analysts to swiftly transform data into actionable insights. Allow the power of AI to solve your problems of overstaffing, medical errors, quality of care, and claims fraud. Benefit from NEMESIS’s uninterrupted process monitoring, unearthing a wide range of risk elements, from predicting quality issues to waste and abuse. Employ machine learning and AI to detect fraud and fraud schemes before they drain your finances. Exercise more robust controls over expenses and budget deviations, through continuous visibility of waste and abuse. -
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Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
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RemoteAware GenAI Analytics Platform
New Boundary Technologies
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation. -
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Ingalls MDR
Ingalls Information Security
Our Managed Detection and Response (MDR) service is designed for advanced detection, threat hunting, anomaly detection and response guidance utilizing a defense-in-depth approach which monitors and correlates network activity with endpoints, logs and everything in between. Unlike a traditional Managed Security Service Provider (MSSP), our service is geared toward proactive prevention. We do this by utilizing the very latest in cloud, big data analytics technology, and machine learning along with the cybersecurity industry’s leading incident response team, to identify threats to your environment. We leverage the best of the commercial, open source, and internally-developed tools and methods to provide the highest fidelity of monitoring possible. We have partnered with Cylance to provide the best endpoint threat detection and prevention capability available on the market today, CylancePROTECT(™). -
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Amazon Lookout for Equipment
Amazon
Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required. -
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evoML
TurinTech AI
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention. -
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Intelligent Threat Detection. Faster Response. 98% of all threats start with Active Directory and nearly always involve the compromise of data stored on enterprise data stores. Our unique combination of detailed auditing, anomaly detection, real time alerting, and real time data discovery and classification allows you to identify, prioritize and investigate threats - fast. Protect Sensitive Data from Rogue Users and Compromised User Accounts. We enable you to detect and investigate threats to your most sensitive data in ways no other vendor can. Bringing together data discovery and classification with threat detection enables you to investigate all events, changes, actions and anomalies with context. End to end visibility of Active Directory, Group Policy, File Servers, Office 365, NetApp, SharePoint, Box, Dropbox and more. Detect and Respond to Security Threats 10x Faster. Investigate threats as they emerge in Active Directory and track movement
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38
Netdata
Netdata, Inc.
The open-source observability platform everyone needs! Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: 💥 Collects metrics from 800+ integrations 💪 Real-Time, Low-Latency, High-Resolution 😶🌫️ Unsupervised Anomaly Detection 🔥 Powerful Visualization 🔔 Out of box Alerts 📖 systemd Journal Logs Explorer 😎 Low Maintenance ⭐ Open and Extensible Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.Starting Price: Free -
39
SmartFlow
Solana Networks
SmartFlow is an IT cyber security monitoring tool that uses Anomaly Detection to pinpoint hard-to-detect security threats. SmartFlow complements existing signature based security monitoring tools. It analyzes network flow traffic to detect zero-day security attacks. Smartflow is an appliance based solution and targeted for medium and large enterprises. SmartFlow utilizes patent-pending anomaly detection techniques and network behaviour analysis to identify security threats in a network. It applies Solana algorithms on flow data such as Netflow to detect address scans, DDoS attacks, Botnets, port scans, malware etc. Zero day threats and encrypted malicious traffic (such as Botnet Command & Control) may escape detection by signature-based security monitoring tools. However, they will not escape detection by SmartFlow. SmartFlow distills network traffic and flow data into more than 20 different statistical measures which it continuously analyzes for early warnings of cyber threats.Starting Price: $5000 per year -
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Infrascale Cloud Backup
Infrascale
Infrascale offers an enterprise cloud backup solution which includes Anomaly Detection, to alert you when the number of “new” or “changed” files dramatically changes from established benchmark levels. The Anomaly Detection feature provides an important early warning system to quickly isolate a ransomware infection and allow you to recover important data before the entire network is frozen. Infrascale understands that backup and recovery of mission-critical data is of utmost importance. This includes the flexibility to perform backups on any endpoint device, and to deliver fast and effortless restores – as well as making it easy to use for the end user. Infrascale Cloud Backup provides unlimited retention and version history, with support for an unlimited number of endpoint devices. Endpoint backup data is always available! With built-in local backup for rapid restore and redundancy, and Live Protect to monitor and capture data changes real-time. -
41
Tatvic Anomaly Detection
Tatvic Analytics
Real-time Anomaly Detection solution helps you identify certain user behavior or actions or a set of actions by users which do not conform to an expected pattern(s) in a dataset. Expected patterns can be generated from historical data sets or idealistic datasets that you can configure as well – we’re big on customization at Tatvic. Now know the sudden spike in the traffic to your website or app is due to bots and spam or is there some other external factor affecting the spike. Real-time Anomaly Detection solution lets you point out faults on your website such as broken UX due to new release or change in website and app. For more complex websites, Real-time Anomaly Detection enables you to keep a track of whether your website and app is up and running smoothly.Starting Price: $39.99/month/user -
42
Logtail
Logtail
Logtail lets you query your logs the same way you query a database. Experience radically better SQL-compatible log management at an unbeatable price. Store your logs in a structured format and search them easily with SQL. Create actionable dashboards with hosted Grafana. Archive log fragments, collaborate with colleagues, and get automatic anomaly detection alerts. -
43
Supervizor
Supervizor
With unparalleled anomaly detection, Supervizor’s continuous quality assurance helps error-proof your accounting and curb fraud. We are on a mission to help corporations produce reliable financial data. Supervizor provides corporations with unique anomaly detection capabilities to identify several types of errors (including accounting ones) and fraud attempts. Processes and people systematically produce errors, and organizations encounter a growing number of fraud schemes. Connect your ERP and let Supervizor consolidate journal entries using our library of millions of accounting patterns. Continuously run ready-to-use checks across multiple areas. Collaborate between teams to oversee financial data quality across subsidiaries, systems, departments, and geographies. Automatically extracts and prepares your data to avoid spending time gathering, scrubbing, and formatting manually. Identifies and prioritizes your riskiest findings to investigate, intelligently minimizing false positives. -
44
Zabbix
Zabbix
Zabbix is an open-source IT infrastructure monitoring and observability platform that helps organizations track the availability, health, and performance of networks, servers, applications, and cloud environments. The software collects real-time metrics, logs, traces, and events from physical infrastructure, virtual machines, containers, databases, and connected devices. Its automated discovery capabilities identify network resources and configure monitoring using customizable templates, agent-based collection, and agentless monitoring protocols. Zabbix provides configurable alerts, anomaly detection, predictive monitoring, and automated remediation workflows to help IT teams identify and resolve problems before they disrupt operations. Interactive dashboards, network maps, graphs, and reporting tools provide centralized visibility into infrastructure performance and service availability. -
45
Glasnostic
Glasnostic
Glasnostic inserts agentlessly into the network data path, observes interaction patterns between services, detects anomalies, and responds with effective and predictable control primitives, in real-time and automatically. Visibility is worth little if disconnected from the action. With Glasnostic, engineers can respond to system behaviors in real-time and proactively. Glasnostic inserts transparent controllers into the network data plane, which collectively act as a brain-in-the-wire that detects and responds to behaviors in real-time. Interaction metrics are sent to the control plane for storage, anomaly detection, and automated or manual control. Glasnostic works with all major cloud technologies and integrates with existing tools from AIOps to workflow and security tools via APIs and webhooks. Glasnostic works with all major technology stacks. View system behaviors holistically, uniformly, and everywhere.Starting Price: $250 per month -
46
Elastic APM
Elastic
Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.Starting Price: $95 per month -
47
Sensai
Sensai
Sensai provides AI based anomaly detection, root cause analysis and prediction tool, enabling real time resolution of issues. Sensai AI solution significantly improves uptime & time to root cause. Empowers IT leaders to manage SLAs for improved performance and profitability. Streamlines & automates anomaly detection, prediction, root cause analysis (RCA) & resolution. Holistic view & integrated analytics through integration w/3rd party tools. Pre-trained algorithms & models from day one. -
48
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
49
Sightness
Sightness
Overcome complexity. Better decide. The SaaS solution for detection of transport anomalies by AI. Smart vision for transport Smart transport vision is global visibility, intelligent anomaly detection and a powerful ally for optimal decision-making. Thanks to its AI (Artificial Intelligence) technology, Sightness frees decision-makers from the complexity of freight transport: it standardizes heterogeneous data, offers a synoptic and microscopic view of the activity and identifies anomalies. This set makes it possible to set up the right action plans. Sightness is available in modules corresponding to the three key components of transport: costs, customer promise and environmental impact. Its functionalities make it possible to meet the business challenges of both shippers and carriers. Fully integrate transport into your CSR policy. Calculate your emissions, simulate your action plans and check their correct functioning. -
50
Auger.AI
Auger.AI
Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.Starting Price: $200 per month
