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Deequ review

#3 in Data Quality ToolsScore 8.4/10Checked Nov 15, 2026By BestSoftwareGuides Editorial Team

Deequ is an open-source library from AWS Labs for defining unit tests for data on Apache Spark. It ranks #3 of 17 in our data quality tools list (8.4/10). Best for spark and Scala/Python engineers validating large datasets in batch pipelines.

Price: Free plan.

Visit DeequFull pricingAlternatives

What Deequ is

Deequ runs data quality constraints (completeness, uniqueness, allowed values, quantiles and others) as Spark jobs and reports which constraints failed. It also profiles columns, suggests constraints automatically, stores metrics in a repository and detects anomalies in those metrics over time; PyDeequ provides a Python interface.

Pros and cons

Where it wins
  • Free and open source (Apache-2.0)
  • Scales with Apache Spark for very large datasets
  • Automatic constraint suggestion and column profiling
  • Supports AWS Data Quality Definition Language (DQDL) rules
Where it falls short
  • Library only: no UI, scheduling or alerting built in
  • Requires Spark; releases are tied to specific Spark versions
  • Recent versions (2.1.0+) require Java 11

Deequ pricing

Deequ pricing plans
PlanBilled annuallyBilled monthlyAnnual savingNotes
Open sourceFreeFree—Apache-2.0; distributed via Maven Central (PyDeequ via PyPI)

USD, per user per month unless noted. "—" means the price is not published or we could not confirm it. Last checked Nov 15, 2026. Status: verified on Deequ's pricing page.

Key facts

Free planYes. Open-source library (Apache-2.0)
Free trialNot advertised
Paid fromSee vendor
Minimum seats1
PlatformsSelf-hosted (Apache Spark library)
SupportGitHub issues
Data profilingYes
Custom rule checksYes
ML anomaly detectionNot confirmed
Data cleansing / correctionNot confirmed
Open sourceYes
Facts checkedNov 15, 2026 · verified on the vendor's own site (source)

Also ranked in

Deequ is ranked in 2 of our lists: #3 of 17 in Data Quality Tools, and:

#1 of 3 in Open-Source Data Quality Tools

Deequ alternatives

iceDQ 7.8/10
Enterprise QA and data teams testing ETL pipelines, migrations and BI reports
Soda 8.7/10
Data engineering teams that want data contracts and pipeline tests with a free tier and published team price
Elementary 8.4/10
Analytics engineering teams that build with dbt
Informatica Data Quality & Observability 8.2/10
Large enterprises already using Informatica IDMC or PowerCenter
Great Expectations (GX Core) 7.9/10
Python data engineers who want code-defined data tests in pipelines at no license cost
Acceldata Data Observability Cloud (ADOC) 7.8/10
Enterprises that want data quality monitoring and warehouse/lakehouse cost monitoring in one product
Ataccama ONE 7.8/10
Large and regulated organizations that want data quality, MDM and governance in one platform
BiG EVAL NX³ 7.8/10
Regulated enterprises (banking, insurance, retail) automating data tests at scale
Qlik Talend Data Quality 7.8/10
Organizations using Qlik or Talend for data integration that want quality built into pipelines
Anomalo 7.4/10
Enterprises that want unsupervised anomaly detection without writing many rules, including in their own VPC
Bigeye 7.4/10
Enterprises with a mix of cloud warehouses and legacy systems (Oracle, DB2, Netezza, SSIS, DataStage)
Collibra Data Quality & Observability 7.4/10
Enterprises already using Collibra for data governance and cataloging
Experian Aperture Data Studio 7.4/10
Organizations cleaning customer and contact data (addresses, emails, phone numbers) at scale
RightData DataTrust 7.4/10
Enterprises reconciling data across migrations, ETL pipelines and financial controls
Monte Carlo 7/10
Mid-size and large data teams that want automated monitoring across a warehouse, ETL and BI stack
Sifflet 7/10
Data teams that want observability and a data catalog in one tool, including regulated firms needing self-hosting

Deequ compared

Frequently asked questions

How much does Deequ cost?

Deequ has a free plan. Prices last checked Nov 15, 2026.

Is Deequ free?

Yes. Open-source library (Apache-2.0)

What are the best Deequ alternatives?

Soda (8.7/10), Elementary (8.4/10), Informatica Data Quality & Observability (8.2/10) are the highest-scoring alternatives in our data quality tools ranking.

Sources