AWS Glue DataBrew
7.2#2 in schema registry softwareWebAPI
VisitAWS Glue DataBrew vs DataCleaner
DataCleaner
7.4#3 in data preparation softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | AWS Glue DataBrew | DataCleaner |
|---|---|---|
| Data profiling | Users can profile data to evaluate its quality, understand patterns, and detect anomalies. | Its profiling engine identifies patterns, missing values, character sets and other characteristics of data. |
| Documentation depth | The developer guide covers concepts, setup, datasets, integrations, security, quotas, jobs, recipes, profiles and troubleshooting topics. | The documentation archive includes reference versions 5.7.0, 5.4.0 and 5.2, covering end-user, configuration, CLI, integration and developer topics. |
| Integrations | DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog. | The project advertises Apache Hadoop, Apache Spark, Pentaho Data Integration and Apache MetaModel integrations. |
| Public API | AWS publishes a Glue DataBrew API and a Boto3 client created with boto3.client('databrew'). | The GitHub repository describes an api module containing public interfaces and annotations for building extensions. |
| Purpose | AWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code. | DataCleaner is an open source data quality solution with a data profiling engine for discovering and analyzing data quality. |
| Rating on G2 | 4.3 out of 5 from 196 reviews. | 0.0 out of 5 from 0 reviews; G2 says there are too few reviews to provide buying insight. |
AWS Glue DataBrew plans
- DataBrew jobs$0.48 a month
- DataBrew interactive sessions$1, paid once
- Pay-as-you-goPriced on request
DataCleaner plans
- Community editionFree
- DataCleaner community editionFree
Pick AWS Glue DataBrew if…
It suits data analysts and data scientists preparing data for analytics or machine learning, especially those who want visual transformations instead of writing code. It can also serve teams working with large datasets across data lakes, warehouses, and databases.
Pick DataCleaner if…
DataCleaner suits people who need to profile and clean data from files or databases, including developers who want to embed it or build plugins. It is available for Linux, macOS, and Windows.