Amazon Deequ
6.7#2 in data quality testing toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitAmazon Deequ vs Metaplane
What both publish
| Fact | Amazon Deequ | Metaplane |
|---|---|---|
| Integrations | Deequ is built on Apache Spark, is distributed through Maven artifacts, and has a Python interface called PyDeequ. | Listed integrations include Snowflake, BigQuery, Redshift, ClickHouse, Databricks, dbt, Tableau, Looker, Slack, Microsoft Teams, PagerDuty, and Jira. |
Amazon Deequ plans
- Apache 2.0 open-source libraryFree
Metaplane plans
- FreeFree
- EnterprisePriced on request
- Pro—
Pick Amazon Deequ if…
Deequ suits developers and data teams who want to check data quality in Spark-based pipelines before datasets reach consuming systems or machine-learning algorithms. It is intended for users comfortable working with Spark and its supported release versions.
Pick Metaplane if…
Metaplane suits teams that need to monitor data quality across warehouses and BI tools. It may also fit teams that want anomaly detection, lineage, or pull-request checks for data changes.