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.
Monte Carlo
Data + AI observability platform that monitors data pipelines and AI agents in production, with column-level lineage and AI troubleshooting agents.
Best for large data teams ready to invest in a mature, widely adopted platform that monitors both their data and their AI agents.
Acceldata
Autonomous data and AI platform, born in data observability, with AI agents for data monitoring, lineage, governance, and cost optimization.
Best for large enterprises with hybrid or on-premise data estates that want observability, FinOps, and agentic data management from one vendor.
Qualytics
Data quality control layer that validates data where it's used, with checks auto-generated from profiling, anomaly detection, and quality context for AI agents.
Best for enterprises in regulated industries that need high test coverage without hand-writing rules, and on-premise deployment via Kubernetes.
DQLabs
AI-native platform combining data observability, data quality checks, and business context, with anomaly detection, end-to-end lineage, and pipeline observability.
Best for enterprises that want data quality and observability in one tool, connected to their data catalog and issue management tools.
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.
Lightup
Enterprise data observability platform with AI anomaly detection, no-code data quality checks, and an agentic interface that works with Claude and Gemini.
Best for enterprises that want business users to set up no-code checks at scale, with integrations for data catalogs and issue management tools.
AWS Glue Data Quality
Managed AWS data quality service built on Deequ, with DQDL rulesets, rule recommendations, and anomaly detection for data lakes and Glue pipelines.
Best for teams on AWS Glue Data Catalog and Glue ETL that want to check data at rest and in transit, and quarantine bad records.
Entropy Data
Data product marketplace (formerly Data Mesh Manager) where every data product has an owner and data contracts based on the Open Data Contract Standard, from the team behind the open-source Data Contract CLI.
Best for organizations adopting data mesh that want a data product marketplace with ODCS data contracts, policy checks, and test results published from the Data Contract CLI.
Related integrations
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By Ari Bajo - Data Engineer turned Writer.