Best Free Data Quality Tools in 2026
6 free and open-source data quality tools ordered by their Public Evidence Score. Free access filters this page; it cannot make a tool eligible to rank.
3 open-source · 3 with free tiers · Evidence as of November 9, 2026
Free Data Quality Tools at a Glance
| # | Tool | Ranking Score | License | Paid Plans |
|---|---|---|---|---|
| 1 | 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. | Ranking Score 56 | Free (open source) | Free (open source) |
| 2 | Great Expectations Open-source data quality and validation framework with codified expectations | Ranking Score 41 | Free (open source) | Free (open source) |
| 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. | Ranking Score 39 | Free tier | Free tier |
| 4 | 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. | Ranking Score 18 | Free tier · paid from $750/month | Free tier · paid from $750/month |
| 5 | 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. | Ranking Score 10 | Free tier | Free tier |
| 6 | Marquez Open-source metadata service for data lineage | Ranking Score 10 | Free (open source) | Free (open source) |
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
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.
Open-source data quality and validation framework with codified expectations
DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Unlock data intelligence for your organization today.
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.
Frequently Asked Questions
What is the best free data quality tools in 2026?
OpenMetadata has the most verifiable public evidence among 6 free data quality tools, with a Public Evidence Score of 56. Great Expectations and DataHub also rank highly. This measures the weight of public evidence, not which tool is best for your requirements.
What is the difference between free and open-source data quality tools?
Open-source tools (OpenMetadata, Great Expectations, Marquez) publish their source code and can be self-hosted with no licensing restrictions. Free tools and tools with free tiers offer no-cost access but may limit features, usage, or require a paid upgrade for production workloads. Tools with free tiers, such as DataHub and Soda, also offer paid upgrades.
How are free data quality tools ranked?
They use the same Public Evidence Score as our main rankings: 90% measured public evidence across at least two different platforms, 10% pricing accessibility. Free access is a filter for this page, not a bonus: it cannot make a tool eligible to rank, and every tool here is measured on the same evidence rule as the main list. How thoroughly we have covered a tool on this site, and the search traffic our pages receive, contribute nothing to its position. Vendors cannot pay to influence rankings, comparisons, verdicts or recommendations. Sponsored placements are clearly labelled and kept separate from editorial evidence.