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About

Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected.

About

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

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

Audience

Teams, developers and enterprises in need of a data engineering and data observability platform

Audience

Companies looking for a data observability tool that handles data analysis

Support

Phone Support Not 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 Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

$499 per month
Free Version 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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Bigeye
United States
www.bigeye.com

Company Information

DQOps
Founded: 2021
Poland
dqops.com

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Sifflet

5.0 out of 5 stars
Monte Carlo

Monte Carlo

5.0 out of 5 stars

Categories

Categories

Data Engineering Supported
Data Observability Supported
Data Quality Supported

Data Quality Features

Address Validation Supported
Data Deduplication Not Supported
Data Discovery Not Supported
Data Profililng Supported
Master Data Management Not Supported
Match & Merge Not Supported
Metadata Management Not Supported

Integrations

Amazon Athena Supported
Amazon Redshift Supported
Amazon Web Services (AWS) Supported
Google Cloud BigQuery Supported
MySQL Supported
PostgreSQL Supported
Presto Supported
SQL Server Supported
Slack Supported
Snowflake Supported
AWS CloudFormation Supported
Alation Supported
Apache Airflow Not Supported
Looker Not Supported
Oracle Database Not Supported
SingleStore Not Supported
Sudozi Supported
Trino Not Supported
Visual Studio Code Not Supported

Integrations

Amazon Athena Supported
Amazon Redshift Supported
Amazon Web Services (AWS) Supported
Google Cloud BigQuery Supported
MySQL Supported
PostgreSQL Supported
Presto Supported
SQL Server Supported
Slack Supported
Snowflake Supported
AWS CloudFormation Not Supported
Alation Not Supported
Apache Airflow Supported
Looker Supported
Oracle Database Supported
SingleStore Supported
Sudozi Not Supported
Trino Supported
Visual Studio Code Supported
Claim Bigeye and update features and information
Claim Bigeye and update features and information
Claim DQOps and update features and information
Claim DQOps and update features and information