My Data Observability Tools List

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.

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.

Managed data quality platform built on top of the open-source Deequ framework with data quality rulesets, scheduling, data quality dashboards, and anomaly detection.

Data quality framework for Apache Spark with data quality rule generation from profiling results, YAML and Python-based data validation checks, and a data quality dashboard.

Open-source data testing and observability platform with automated test generation, data profiling, and anomaly detection.

Leading data observability platform with data monitors, anomaly detection, customizable data quality dashboards, and column-level lineage.

Unified data quality and observability platform with anomaly detection, data quality checks, end-to-end data lineage, and pipeline observability.

Open-source data quality testing and observability platform with data quality checks, monitors, data lineage with Marquez, data quality dashboards, and incident management.

End-to-end data observability platform with data monitors and column-level lineage from data sources to BI dashboards.

Lineage-enabled data observability platform with data quality metrics monitoring, anomaly detection, a data catalog, and end-to-end data lineage.

Data observability product by Coalesce after having acquired SYNQ with UI-based data monitors, column-level lineage, and incident management workflows.

Automated data quality monitoring platform with UI-based anomaly detection tests for structured and unstructured data.

Data observability platform with data profiling, metrics, anomaly detection monitors, table-level lineage, and incident management.

Real-time data observability platform for data lakes with anomaly detection, data health reports, and incident management.

Agentic data observability and FinOps platform for the cloud with integrations with external data quality checks, cost optimization, incident management, and resolution.

Automated data operations platform with data observability, pipeline observability, end-to-end pipeline lineage, and incident management.

Data pipeline and data warehouse monitoring platform with data pipeline job monitors, schema change monitors, custom SQL monitors, alerts, and task-based data lineage.

Real-time data observability platform with window-based data validators, end-to-end data lineage, and incident management.

dbt-native data observability platform with anomaly detection monitors, column-level lineage, dbt performance monitoring, incident management, and a data catalog.

AI-augmented data observability platform with data monitors, column-level data lineage, incident management, and a data catalog.

Unified data trust platform with data monitoring, pipeline monitoring, a data catalog, column-level lineage, and data access control.

Unified metadata platform built upon the open-source OpenMetadata project with data discovery features, observability metrics, column-level lineage, and governance workflows.

Comprehensive data observability platform with data validation, data profiling, column-level data lineage, a data catalog, and a business glossary.

Data trust platform with data quality evaluation rules, anomaly detection, data lineage, a data catalog, and master data management.

Agentic data observability platform with AI agents for data monitoring, data lineage, and FinOps.