Featured partner iceDQ is listed first: data testing, reconciliation and monitoring platform from Torana Inc. that checks data across databases, files, APIs and BI reports. Score 7.8/10. What featured means.
Soda is the highest-scoring data quality tool of the 17 we ranked (8.7/10, free plan), best for data engineering teams that want data contracts and pipeline tests with a free tier and published team price. Deequ is the runner-up (8.4/10).
Data quality tools measure and improve how accurate, complete and consistent your data is. They profile data to show what it looks like, run rules that flag bad records, and in some cases correct or standardise values. Options range from open-source libraries that data engineers run in code to enterprise platforms with business-user interfaces and data cleansing.
| Tool | Score | Free plan | Paid from (annual) | Data profiling | Custom rule checks | ML anomaly detection | Data cleansing / correction | Open source |
|---|---|---|---|---|---|---|---|---|
| iceDQ Featured partner | 7.8/10 | No | See vendor | Yes | Yes | Yes | No | No |
| Soda | 8.7/10 | Yes | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Deequ | 8.4/10 | Yes | See vendor | Yes | Yes | Not confirmed | Not confirmed | Yes |
| Elementary | 8.4/10 | Yes | See vendor | Not confirmed | Yes | Yes | Not confirmed | Yes |
| Informatica Data Quality & Observability | 8.2/10 | No | See vendor | Yes | Yes | Yes | Yes | No |
| Great Expectations (GX Core) | 7.9/10 | Yes | See vendor | Not confirmed | Yes | Not confirmed | Not confirmed | Yes |
| Acceldata Data Observability Cloud (ADOC) | 7.8/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Ataccama ONE | 7.8/10 | No | See vendor | Yes | Yes | Yes | Yes | No |
| BiG EVAL NX³ | 7.8/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Qlik Talend Data Quality | 7.8/10 | No | See vendor | Yes | Yes | Not confirmed | Yes | No |
| Anomalo | 7.4/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Bigeye | 7.4/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Collibra Data Quality & Observability | 7.4/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Experian Aperture Data Studio | 7.4/10 | No | See vendor | Yes | Yes | Not confirmed | Yes | No |
| RightData DataTrust | 7.4/10 | No | See vendor | Yes | Yes | Yes | Not confirmed | No |
| Monte Carlo | 7/10 | No | See vendor | Not confirmed | Yes | Yes | Not confirmed | No |
| Sifflet | 7/10 | No | See vendor | Not confirmed | Yes | Yes | Not confirmed | No |
Data testing, reconciliation and monitoring platform from Torana Inc. that checks data across databases, files, APIs and BI reports.
Data quality platform built around data contracts, with metric monitoring and a Python engine (Soda Core).
Open-source library from AWS Labs for defining unit tests for data on Apache Spark.
dbt-native data observability with an open-source package and CLI plus a paid cloud platform.
Data quality and observability services in Informatica's Intelligent Data Management Cloud (IDMC), now part of Salesforce.
Open-source Python library for testing data with declarative 'Expectations'.
Data observability platform covering data reliability (quality, freshness, anomalies) and data platform cost optimization.
Unified data quality, observability, lineage, catalog and master data management platform.
Swiss data quality and data testing platform that runs metadata-driven, rule-based and AI-assisted checks across data sources.
Data profiling, rules, cleansing and trust scoring within Qlik Talend Cloud and Talend Studio.
AI-based data quality monitoring for structured tables and unstructured documents.
Data observability platform with anomaly-detection metrics, custom rules and column-level lineage across modern and legacy sources.
Data quality monitoring with ML-generated adaptive rules, tied into the Collibra governance and catalog platform.
Data quality and enrichment platform from Experian, with contact data validation and identity resolution.
Data quality, ETL testing and source-to-target reconciliation product in the RightData platform.
Data and AI observability platform that monitors warehouse tables, pipelines and AI agents for anomalies.
Data observability platform with a built-in data catalog, field-level lineage and AI monitoring agents.
How many data quality tools publish their prices? 3 of the 17 we ranked publish a price or a free plan; 14 are quote-only: iceDQ, Elementary, Informatica Data Quality & Observability, Acceldata Data Observability Cloud (ADOC), Ataccama ONE, BiG EVAL NX³, Qlik Talend Data Quality, Anomalo, Bigeye, Collibra Data Quality & Observability, Experian Aperture Data Studio, RightData DataTrust, Monte Carlo, Sifflet.
How many data quality tools have a free plan? 4 of the 17 we ranked have a free plan: Soda (8.7/10), Deequ (8.4/10), Elementary (8.4/10), Great Expectations (GX Core) (7.9/10).
Which features set data quality tools apart? Data profiling: 13 of 17 (iceDQ, Soda, Deequ and more). ML anomaly detection: 13 of 17 (iceDQ, Soda, Elementary and more). Data cleansing / correction: 4 of 17 (Informatica Data Quality & Observability, Ataccama ONE, Qlik Talend Data Quality and more). Every tool we ranked confirms custom rule checks, so it does not separate them.
Soda ranks first on our data score (8.7/10). It is best for data engineering teams that want data contracts and pipeline tests with a free tier and published team price. Deequ is second (8.4/10). iceDQ is our featured partner and is listed first (Featured partner); its own score is 7.8/10.
Soda, Deequ, Elementary, Great Expectations (GX Core) offer a free plan. iceDQ, Informatica Data Quality & Observability, Acceldata Data Observability Cloud (ADOC), Ataccama ONE, BiG EVAL NX³, Qlik Talend Data Quality, Anomalo, Bigeye, Collibra Data Quality & Observability, Experian Aperture Data Studio, RightData DataTrust, Monte Carlo, Sifflet do not.
The commonly used dimensions are accuracy, completeness, consistency, timeliness, validity and uniqueness. Data quality tools turn these into measurable rules, such as 'no duplicate customer IDs' or 'order date is not in the future'.
Yes. Several open-source data quality tools can be used free of charge if you host them yourself; their vendors usually sell a paid cloud version with a user interface, scheduling and alerting.
Scores come from published, repeatable data (features, free plan, entry price, pricing transparency). No vendor can pay to change a score. iceDQ is listed first as a featured partner; all other tools are in score order. Read the methodology · Disclosure.