Great Expectations
GX Cloud is a managed data quality platform with a library of expectations based on the open-source GX Core Python library, data profiling, scheduling, and anomaly detection.
Best for data teams looking for a mix of UI-managed tests and custom Python workflows to validate a mix of files, SQL databases, data warehouses, and in-memory DataFrames.
Soda
Soda Cloud is a flexible data quality platform based on the open-source Soda Core Python library with built-in metrics to write data tests, monitors, and contracts in YAML, a UI, or AI.
Best for data engineering teams looking to embed tests at every pipeline stage, quarantining failed records, and bi-directional integrations with data governance tools.
AWS Glue Data Quality
Managed data quality platform built on top of the open-source Deequ framework with data quality rulesets, scheduling, data quality dashboards, and anomaly detection.
Best for data teams using the AWS Glue Data Catalog and AWS Glue ETL jobs that want to monitor data quality at rest and in transit, with the possibility to quarantine data.
Monte Carlo
Leading data observability platform with data monitors, anomaly detection, customizable data quality dashboards, and column-level lineage.
Best for data teams with a big budget looking for a mature and customizable data observability platform that also offers AI observability.
DQLabs
Unified data quality and observability platform with anomaly detection, data quality checks, end-to-end data lineage, and pipeline observability.
Best for enterprises looking for unified data quality and observability that integrates with modern data catalogs and issue management tools.
DQOps
Open-source data quality testing and observability platform with data quality checks, monitors, data lineage with Marquez, data quality dashboards, and incident management.
Best for data teams looking to customize built-in data quality checks and data quality dashboards with Looker Studio to monitor data quality KPIs.
Anomalo
Automated data quality monitoring platform with UI-based anomaly detection tests for structured and unstructured data.
Best for data teams looking for a specialized data quality monitoring tool that integrates with specialized and cloud-native data catalog tools.
Lightup
Data observability platform with data profiling, metrics, anomaly detection monitors, table-level lineage, and incident management.
Best for data teams looking for efficient and scalable window-based metrics for data warehouses monitoring with integrations with data catalogs and issue management tools.
Telmai
Real-time data observability platform for data lakes with anomaly detection, data health reports, and incident management.
Best for data teams looking for data observability for data lakes and data lakehouses with native support for Apache Iceberg, Hudi, and Delta Lake.
Pantomath
Automated data operations platform with data observability, pipeline observability, end-to-end pipeline lineage, and incident management.
Best for data operations teams looking for end-to-end data pipeline lineage with automated root-cause analysis and integrations with Jira or ServiceNow.
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By Ari Bajo - Data Engineer turned Writer.
Datafold
Proactive data quality platform with data diff tests, data impact reports, column-level lineage, and data monitors.
Best for data teams looking for data impact reports in PRs to validate code changes and automate data migrations with SQL translation and data reconciliation tests.
Decube
Unified data trust platform with data monitoring, pipeline monitoring, a data catalog, column-level lineage, and data access control.
Best for data teams looking to combine data observability, a data catalog, and data governance in the same tool.
Collate
Unified metadata platform built upon the open-source OpenMetadata project with data discovery features, observability metrics, column-level lineage, and governance workflows.
Best for data teams looking for a unified enterprise solution to data discovery, observability, and governance with a wide range of integrations.
Ataccama ONE
Data trust platform with data quality evaluation rules, anomaly detection, data lineage, a data catalog, and master data management.
Best for organizations looking to scale data management initiatives with enterprise master data management, data quality, and data governance.
Acceldata
Agentic data observability platform with AI agents for data monitoring, data lineage, and FinOps.
Best for data teams looking for an enterprise data observability platform pivoting to a ChatGPT-like interface for all data management initiatives.