Collate
Managed agentic data platform built on OpenMetadata, with AI agents, data quality tests, observability metrics, column-level lineage, and governance workflows.
Best for data teams that want OpenMetadata fully managed, with enterprise support, security features, and advanced governance workflows.
OpenMetadata
Open-source context platform that unifies metadata for humans and AI agents, with data discovery, data quality tests, column-level lineage, and governance.
Best for data teams that want one self-hosted, open-source platform for discovery, data quality, and governance with a wide range of integrations.
Ataccama ONE
Agentic data trust platform with data quality rules, observability, a data catalog, lineage, master data management, and a built-in AI agent.
Best for large organizations that want enterprise data quality, master data management, and data governance from one vendor.
Anomalo
Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.
Best for enterprises that want ML-based monitoring with little rule-writing, including quality checks on unstructured data such as documents.
Soda Cloud
AI-native data quality platform with data contracts written in YAML, UI, or AI, anomaly detection, and AI agents that explain and fix data issues.
Best for data teams that want engineers and business users to agree on data contracts in one place and resolve bad data together.
Soda Core
Open-source data contracts engine (Soda 4) to write data quality checks and contracts in YAML and run them in pipelines and CI/CD.
Best for data engineers who prefer YAML over Python for checks and want them running free inside pipelines and CI/CD.
Datafold
AI-powered data engineering platform with agents for migrations and code reviews, plus data diff, impact analysis, and anomaly detection.
Best for data teams planning a warehouse migration or wanting data diffs in every pull request to catch regressions before merge.
Great Expectations
Open-source Python data quality framework, stewarded by Fivetran, with 50+ declarative expectations to validate files, SQL databases, warehouses, and DataFrames.
Best for Python data engineers who want a free, code-first testing library and don't need a managed UI, since GX Cloud is no longer available.
SelectZero
Self-hosted data observability platform with value-level data validation, column-level lineage, a data catalog, and a business glossary.
Best for enterprises that cannot let data leave their environment and want one self-hosted tool, deployed with Docker.
Related integrations
- Data quality tools for Databricks SQL (34)
- Data quality tools for Snowflake (34)
- Data quality tools for Google BigQuery (33)
- Data quality tools for Amazon Redshift (32)
- Data quality tools for Oracle DB (22)
- Data quality tools for Azure Synapse (19)
- Data quality tools for Teradata (16)
- Data quality tools for ClickHouse (15)
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By Ari Bajo - Data Engineer turned Writer.