Great Expectations
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.
Best for data teams looking for a mix of UI-managed tests and custom Python workflows to validate a mix of files, SQL databases, data warehouses, and in-memory DataFrames.
Soda
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.
Best for data engineering teams looking to embed tests at every pipeline stage, quarantining failed records, and bi-directional integrations with data governance tools.
AWS Glue Data Quality
Managed data quality platform built on top of the open-source Deequ framework with data quality rulesets, scheduling, data quality dashboards, and anomaly detection.
Best for data teams using the AWS Glue Data Catalog and AWS Glue ETL jobs that want to monitor data quality at rest and in transit, with the possibility to quarantine data.
Google CloudDQ
Cloud-native data validation CLI with YAML-based data quality checks for BigQuery tables and GCS structured data.
Best for data teams looking for a BigQuery-native solution to write reusable SQL checks and consume data quality outputs programmatically.
DQX by Databricks
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.
Best for Databricks users looking to validate PySpark DataFrames and Tables across Spark Core, Spark Structured Streaming, and Lakeflow Pipelines / DLT.
DataKitchen
Open-source data testing and observability platform with automated test generation, data profiling, and anomaly detection.
Best for data teams looking for a cost-effective data testing and observability solution that also offers DataOps training services.
Monte Carlo
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 with various integrations.
DQLabs
Unified data quality and observability platform with anomaly detection, data quality checks, end-to-end data lineage, and pipeline observability.
Best for enterprises looking for unified data quality and observability that integrates with modern data catalogs and issue management tools.
DQOps
Open-source data quality testing and observability platform with data quality checks, monitors, data lineage with Marquez, data quality dashboards, and incident management.
Best for data teams looking to customize built-in data quality checks and data quality dashboards with Looker Studio to monitor data quality KPIs.
Metaplane by Datadog
End-to-end data observability platform with data monitors and column-level lineage from data sources to BI dashboards.
Best for data analytics teams looking to quickly add anomaly detection monitors through the UI.
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BigEye
Lineage-enabled data observability platform with data quality metrics monitoring, anomaly detection, a data catalog, and end-to-end data lineage.
Best for data teams looking to add code-based data observability for a mix of modern and legacy data warehouses and ETLs.
SYNQ
Data observability platform built around data products with UI-based data monitors, column-level lineage from sources to BI, and incident management.
Best for data analytics teams using dbt / SQLMesh looking for advanced incident management workflows with ownership activation, AI-powered issue triaging, and resolution.
Anomalo
Automated data quality monitoring platform with UI-based anomaly detection tests for structured and unstructured data.
Best for data teams looking for a specialized data quality monitoring tool that integrates with data catalogs, notably Alation, Snowflake Horizon, and Databricks Unity Catalog.
Lightup
Data observability platform with data profiling, metrics, anomaly detection monitors, table-level lineage, and incident management.
Best for data teams looking for efficient and scalable window-based metrics for data warehouses monitoring with integrations with data catalogs and issue management tools.
Telmai
Real-time data observability platform for data lakes with anomaly detection, data health reports, and incident management.
Best for data teams looking for data observability for data lakes and data lakehouses with native support for Apache Iceberg, Hudi, and Delta Lake.
Unravel
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.
Pantomath
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.
IBM Databand
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.
Datafold
Proactive data quality platform with data diff tests, data impact reports, column-level lineage, and data monitors.
Best for data teams looking for data impact reports in PRs to validate code changes and accelerate data migrations with SQL translation and data reconciliation tests.
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Recce
Recce Cloud is a specialized dbt data validation toolkit with column-level impact and data-diff reports.
Best for data teams using dbt looking for a cost-effective solution to streamline reviewing dbt code changes with data impact reports on PRs.
Foundational
Data management platform with source code analysis, data impact reports, column-level data lineage to BI, and data contracts.
Best for data analytics teams looking to prevent data quality incidents with data impact reports integrated within their development lifecycle through Git and PRs.
Entropy Data
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.
Elementary
dbt-native data observability platform with anomaly detection monitors, column-level lineage, dbt performance monitoring, incident management, and a data catalog.
Best for data analytics teams looking to add advanced anomaly detection monitors in their dbt codebase.
Sifflet
AI-augmented data observability platform with data monitors, column-level data lineage, incident management, and a data catalog.
Best for data teams looking for full-featured data observability, data lineage, and a data catalog in the same tool with integrations for data warehouses and databases.
Decube
Unified data trust platform with data monitoring, pipeline monitoring, a data catalog, column-level lineage, and data access control.
Best for data teams looking to combine data observability, a data catalog, and data governance in the same tool.
Collate
Unified metadata platform built upon the open-source OpenMetadata project with data discovery features, observability metrics, column-level lineage, and governance workflows.
Best for data teams looking for a unified enterprise solution to data discovery, observability, and governance with a wide range of integrations.
SelectZero
Comprehensive data observability platform with data validation, data profiling, column-level data lineage, a data catalog, and a business glossary.
Best for enterprises looking for a data quality tool that can be easily self-hosted with a Docker deployment and also offers a one seat free version to get started.
Ataccama ONE
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.
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Building or buying a data tool in 2026?
I write the most comprehensive lists of tools and actionable market guides for data teams. Next, covering Data Governance, LLMOps, Data Orchestration, Data Integration, ...