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iceDQ vs Deequ

Checked Nov 15, 2026How we score

Verdict: Deequ scores 8.4/10 against 7.8/10 for iceDQ on our data score for data quality tools.

Deequ has a free plan; iceDQ does not.

Deequ leads on 2 checks and iceDQ on 1; 3 are even, out of 6 checks (yes/no, price and seats) where we have data for both.

Choose iceDQ for enterprise QA and data teams testing ETL pipelines, migrations and BI reports. Choose Deequ for spark and Scala/Python engineers validating large datasets in batch pipelines.

Scoreboard: 6 checks

Check	iceDQ	Deequ
Free plan		Leads
Free trial	Leads
Smaller seat minimum	Even	Even
Data profiling	Even	Even
Custom rule checks	Even	Even
Open source		Leads
Total	1	2

At a glance

	iceDQ	Deequ
Score	7.8/10 (#1)	8.4/10 (#3)
Best for	Enterprise QA and data teams testing ETL pipelines, migrations and BI reports	Spark and Scala/Python engineers validating large datasets in batch pipelines
Free plan	No	Yes
Paid from (annual)	See vendor	See vendor
Paid from (monthly)	—	—
Free trial	Free trial offered via demo request (length not stated)	—
Minimum seats	1	1
Platforms	Cloud (SaaS on AWS), On-premises (self-managed)	Self-hosted (Apache Spark library)

Features

Tool	Score	Data profiling	Custom rule checks	ML anomaly detection	Data cleansing / correction	Open source
iceDQ Featured partner	7.8/10	Yes	Yes	Yes	No	No
Deequ	8.4/10	Yes	Yes	Not confirmed	Not confirmed	Yes

Only iceDQ confirms: ML anomaly detection.
Only Deequ confirms: Open source.

Pros and cons

iceDQ

Pros

Connectors page lists 150+ native and SQL-based connectors, including Snowflake, Databricks, Google BigQuery, SAP HANA, Salesforce, Kafka and mainframe AS400
Tests BI reports against their source data; the BI testing page names Power BI, Tableau, Qlik Sense, MicroStrategy, SAP BusinessObjects and IBM Cognos, and Power BI testing supports XMLA and native DAX queries
File testing covers CSV, JSON, XML, Excel, fixed-width, Parquet, Avro and mainframe EBCDIC/COBOL files, read from S3, ADLS Gen2, Google Cloud Storage, FTP/SFTP and SharePoint
Integrations page lists 20+ pre-built integrations: Jenkins, Bamboo, Azure DevOps, GitHub Actions, Airflow, Autosys, Control-M, Jira, ServiceNow, HP ALM, Xray and Zephyr
Offered as SaaS on AWS or self-managed on-premises; the vendor says the customer controls data access in both

Cons

No published prices; the license is described only as consumption-based per user per server or enterprise, and every page leads to 'Book a Demo'
No free plan; the 'Free Trial' card on the homepage links to the demo request form and gives no trial length or terms
Many connectors cost extra: the licensing policy lists JSON, XML, Parquet, Avro, REST API, GraphQL, Salesforce and Kafka as premium data connectors, Power BI, Tableau Cloud and Qlik Cloud as premium BI connectors, and Azure DevOps, GitHub Actions and Jira as premium integrations
For Tableau and Qlik, the connectors page and licensing policy list only Tableau Cloud and Qlik Cloud; Cognos is named on the BI testing page but not in the connector list
Aimed at data teams rather than API developers: there is no load testing or API mocking, and the vendor itself says it checks the data in API responses rather than replacing functional tools like Postman

iceDQ pricing →

Deequ

Pros

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

Cons

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 →

Frequently asked questions

How do iceDQ and Deequ compare on features and price?

Deequ leads on 2 checks and iceDQ on 1; 3 are even, out of 6 checks (yes/no, price and seats) where we have data for both.

Is iceDQ better than Deequ?

Deequ scores 8.4/10 against 7.8/10 for iceDQ on our data score for data quality tools. iceDQ is best for enterprise QA and data teams testing ETL pipelines, migrations and BI reports; Deequ is best for spark and Scala/Python engineers validating large datasets in batch pipelines.

Which is cheaper, iceDQ or Deequ?

Check each vendor's pricing page; one of them does not publish an entry price.

Do iceDQ and Deequ have free plans?

iceDQ: no. Deequ: yes.

See the full Data Quality Tools ranking for other options.