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.
DQOps
Open-source data quality operations center to profile, automate, and monitor data quality with built-in checks, monitors, and data quality KPI dashboards.
Best for data teams that want to customize built-in checks and track data quality KPIs on dashboards. The open-source version has had no releases since January 2026, so prefer DQOps Cloud.
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.
Related integrations
- Data quality tools for PostgreSQL (30)
- Data quality tools for Microsoft SQL Server (27)
- Data quality tools for MySQL (23)
- Data quality tools for Azure SQL Database (10)
- Data quality tools for MariaDB (9)
- Data quality tools for Amazon Aurora (6)
- Data quality tools for SQLite (6)
- Data quality tools for AlloyDB (5)
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