Discover the best 10 data quality tools that integrate with Apache Kafka.
By Ari Bajo - Data Engineer turned Writer.
See the full data quality tools list
All 36 data quality, data testing, and data observability tools.
Managed enterprise data platform built on OpenMetadata with data discovery, observability metrics, column-level lineage, governance workflows, and enterprise support.
Best for data teams looking for a fully managed enterprise version of OpenMetadata with dedicated support, advanced governance features, and a wide range of integrations.
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.
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.
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.
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.
Real-time data observability platform with window-based data validators, end-to-end data lineage, and incident management.
Best for data teams looking for real-time anomaly detection in data streams, lakes, and warehouses.
Data product platform to build data marketplaces with data contracts based on the Open Data Contract Standard (ODCS), the open-source Data Contract CLI, and data policy checks.
Best for organizations looking to build a data product marketplace with data policy checks.
Data pipeline and data warehouse monitoring platform with data pipeline job monitors, schema change monitors, custom SQL monitors, alerts, and task-based data lineage.
Best for data teams looking for end-to-end ETL pipeline monitoring with tasks that span across dbt, Airlfow, Azure Data Factory, Spark, IBM DataStage, and IBM Watsonx Data.
Agentic data observability and FinOps platform for the cloud with integrations with external data quality checks, cost optimization, incident management, and resolution.
Best for data and infrastructure teams that want to combine data quality results with costs and performance insights into one platform with optimization recommendations.
Shift left data platform with data contracts, static code analysis, and CI/CD integrations.
Best for data operations teams looking to prevent bad data during CI/CD in database tables, files, Kafka topics, or Protobuf messages.
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