Sifflet

Sifflet

5.0 out of 5 stars
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About

Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics.

About

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.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Enterprises searching for an Agentic Data Management Platform

Audience

Teams and companies requiring a solution to monitor their data assets, metadata, and infrastructure

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.5 / 5
design 5.0 / 5
support 4.0 / 5

Pros & Cons from Real Users

Pros

  • AI-based anomaly detection works flawlessly Easy data lineage visualization Customizable metrics for business-specific monitoring Smooth cloud integration
  • To call out some of the top features, they would be:- ✅ The ability to connect to multiple data sources; giving you great observability of data no matter what platform you use. ✅ The UI is clean, simple and easy to use. Setting up a new data source is easy, even uploading dbt manifest files via their API is a simple few commands. ✅ Their documentation on getting things set up and working is very easy to read; it’s not bloated and tells you exactly what you need to do. ✅Their communication with us has been a great experience. They’ve fixed bugs we’ve raised to them, informed us of new updates, and overall been very receptive of feedback.

Cons

  • Mobile interface could be slightly improved Initial setup requires some familiarization for complex pipelines
  • Sifflet are still developing some features, polishing existing ones and ironing out minor bugs (more like quality of life features). So there’s nothing major that would be a deal breaker. If I had to call out some points that need development they would be:- 🤔 Their ‘Domain’ feature (ability to put data assets into domains, then limit users to a domain) is still in it’s basic form. It works, but needs some tweaks before it can be a real sellable feature. 🤔Exploring the lineage of a very large lineage graph can be difficult due to the number of relationships/dependencies a model may have. This may be more of an issue with your own DAG architecture than Sifflet, but it’s worth keeping in mind if your models are inherently complex and coupled to one another. Thankfully, Sifflet are working on a new UI for their lineage graph and have demo'd it with us, so this should be a lot smoother in the near future.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

Acceldata
Founded: 2018
United States
www.acceldata.io

Company Information

Sifflet
United States
www.siffletdata.com

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Categories

Data Governance Supported
Data Management Supported
Data Observability Supported
Data Quality Supported
DataOps Supported
Observability Supported

Categories

Data Catalog Supported
Data Engineering Supported
Data Lineage Supported
Data Observability Supported
Data Quality Supported
DataOps Supported
Observability Supported

Integrations

Amazon Redshift Supported
Apache Hive Supported
Google Cloud Platform Supported
Microsoft Azure Supported
MySQL Supported
PostgreSQL Supported
Snowflake Supported
Airbyte Not Supported
Amazon EMR Not Supported
Amazon QuickSight Not Supported
Amazon Web Services (AWS) Supported
Apache Airflow Not Supported
Apache Kafka Supported
Census Not Supported
Cloudera Supported
Databricks Supported
Microsoft Teams Not Supported
SQL Server Not Supported
Slack Not Supported
Tableau Not Supported

Integrations

Amazon Redshift Supported
Apache Hive Supported
Google Cloud Platform Supported
Microsoft Azure Supported
MySQL Supported
PostgreSQL Supported
Snowflake Supported
Airbyte Supported
Amazon EMR Supported
Amazon QuickSight Supported
Amazon Web Services (AWS) Not Supported
Apache Airflow Supported
Apache Kafka Not Supported
Census Supported
Cloudera Not Supported
Databricks Not Supported
Microsoft Teams Supported
SQL Server Supported
Slack Supported
Tableau Supported
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