AWS Glue DataBrew
7.2#2 in schema registry softwareWebAPI
VisitAWS Glue DataBrew vs Datastrato Iceberg Lakehouse Platform
Datastrato Iceberg Lakehouse Platform
6.6#5 in active metadata management softwareAPILinuxSelf-hosted
VisitWhat both publish
| Fact | AWS Glue DataBrew | Datastrato Iceberg Lakehouse Platform |
|---|---|---|
| Documentation depth | The developer guide covers concepts, setup, datasets, integrations, security, quotas, jobs, recipes, profiles and troubleshooting topics. | The Enterprise documentation is organized into installation, metadata exploration, governance, automation, source connections, authorization, monitoring, configuration, engines, agents, reference and release notes. |
| Integrations | DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog. | The product page names Spark, Flink, Trino, and Dremio as Iceberg catalog clients, and says the same namespace also resolves across BigQuery. |
| Public API | AWS publishes a Glue DataBrew API and a Boto3 client created with boto3.client('databrew'). | The platform retains Apache Gravitino REST endpoints, client libraries and connector names, and exposes standard Iceberg REST APIs. |
| Purpose | AWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code. | Datastrato is a federated metadata catalog built on Apache Gravitino and Iceberg REST Catalog for connecting data sources and governing access across clients. |
AWS Glue DataBrew plans
- DataBrew jobs$0.48 a month
- DataBrew interactive sessions$1, paid once
- Pay-as-you-goPriced on request
Datastrato Iceberg Lakehouse Platform plans
- Datastrato EnterprisePriced on request
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 Datastrato Iceberg Lakehouse Platform if…
Datastrato identifies enterprise teams and developers working on metadata management, governance, and AI-ready infrastructure as its audience. It is relevant to organizations connecting multiple data sources and enforcing shared access controls across clients.