Best Free Data Quality Tools in 2026
12 free and open-source data quality tools ranked by community adoption, search interest, and review quality.
3 open-source · 9 freemium · Last verified March 25, 2026
Free Data Quality Tools at a Glance
| # | Tool | Score | License | Paid Plans |
|---|---|---|---|---|
| 1 | Great Expectations Open-source data quality and validation framework with codified expectations | 69 | Open Source | Self-host only |
| 2 | OpenMetadata OpenMetadata is the #1 open source data catalog tool with the all-in-one platform for data discovery, quality, governance, collaboration & more. Join our community to stay updated. | 66 | Open Source | Self-host only |
| 3 | DataHub DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Unlock data intelligence for your organization today. | 60 | Freemium | Free |
| 4 | Atlan Build a shared understanding of your data, your business logic, and your institutional knowledge, and make it available to every AI tool you run. | 53 | Freemium | From $15/mo |
| 5 | Soda The AI-native, fully automated data quality platform. Find, understand and fix data quality issues in seconds with Soda. From table to record-level. | 53 | Freemium | From $750/mo |
| 6 | Acceldata Enterprise data observability and pipeline monitoring | 49 | Freemium | From $100/mo |
| 7 | Elementary The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features. | 48 | Freemium | From $10/mo |
| 8 | Marquez Open-source metadata service for data lineage | 48 | Open Source | Self-host only |
| 9 | Monte Carlo Enterprise data observability with ML-driven anomaly detection | 48 | Freemium | From $25/mo |
| 10 | Secoda Redefine data governance and trust with AI built on a foundation of data cataloging, lineage, observability, and quality —all enriched by your business context. | 48 | Freemium | From $99/mo |
| 11 | Select Star Select Star is a modern data governance platform that gets your data AI-ready. Automated data catalog, lineage, and semantic models built on your existing data. | 47 | Freemium | From $300/mo |
| 12 | Datafold Datafold, from the company of the same name in San Francisco, is a data observability platform that helps companies prevent data catastrophes. | 45 | Freemium | Free |
Free & Open-Source Data Quality Tools: What You Need to Know
Data quality is one of the most accessible categories for free tooling. Several leading platforms are fully open-source, and the commercial tools that dominate the space offer free tiers that cover the needs of small-to-medium data teams. Open-source frameworks like Great Expectations and dbt tests let teams embed quality checks directly into their pipeline code at zero cost, while observability platforms provide free monitoring for a limited number of tables or data sources.
What to Look For in Free Data Quality Tools
For free data quality tools, the key differentiator is whether the tool requires manual rule configuration or provides automated anomaly detection. Open-source frameworks typically require you to write explicit expectations, which gives precision but demands upfront effort. Free tiers of commercial platforms often include automated monitoring but limit the number of monitored tables or alert destinations. Consider how the tool integrates with your existing pipeline — quality checks that run inside your orchestrator are easier to maintain than a separate monitoring layer.
All Free Data Quality Tools
Open-source data quality and validation framework with codified expectations
OpenMetadata is the #1 open source data catalog tool with the all-in-one platform for data discovery, quality, governance, collaboration & more. Join our community to stay updated.
DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Unlock data intelligence for your organization today.
Build a shared understanding of your data, your business logic, and your institutional knowledge, and make it available to every AI tool you run.
The AI-native, fully automated data quality platform. Find, understand and fix data quality issues in seconds with Soda. From table to record-level.
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Enterprise data observability with ML-driven anomaly detection
Redefine data governance and trust with AI built on a foundation of data cataloging, lineage, observability, and quality —all enriched by your business context.
Select Star is a modern data governance platform that gets your data AI-ready. Automated data catalog, lineage, and semantic models built on your existing data.
Datafold, from the company of the same name in San Francisco, is a data observability platform that helps companies prevent data catastrophes.
Frequently Asked Questions
What is the best free data quality tools in 2026?
Based on our composite ranking, Great Expectations ranks #1 among 12 free data quality tools with a score of 69. OpenMetadata and DataHub are also top-ranked free options. Rankings are recalculated regularly.
What is the difference between free and open-source data quality tools?
Open-source tools (Great Expectations, OpenMetadata, Marquez) publish their source code and can be self-hosted with no licensing restrictions. Free/freemium tools offer no-cost tiers but may limit features, usage, or require a paid upgrade for production workloads. Freemium options like DataHub and Atlan provide free tiers with paid upgrades.
How are free data quality tools ranked?
We use the same composite scoring as our main rankings: community interest (50%), review quality (30%), and pricing accessibility (20%). All tools on this page score the full pricing accessibility bonus since they offer free access. No vendor pays for placement.