DataHub
7.6#1 in active metadata management softwareFree planFree planWebAPILinuxmacOS
VisitDataHub vs Datastrato Iceberg Lakehouse Platform
Datastrato Iceberg Lakehouse Platform
6.6#5 in active metadata management softwareAPILinuxSelf-hosted
VisitWhat both publish
| Fact | DataHub | Datastrato Iceberg Lakehouse Platform |
|---|---|---|
| Company headquarters | LinkedIn lists the headquarters at 3101 Park Boulevard, Palo Alto, California 94306, United States. | LinkedIn lists Datastrato headquarters in San Mateo, California. |
| Company size | LinkedIn lists DataHub as a privately held software-development company with 51–200 employees. | LinkedIn lists Datastrato as a privately held software-development company with 11–50 employees. |
| Documentation depth | The documentation site includes integration guides, API and SDK references, deployment, authentication, authorization, developer and release-history sections. | The Enterprise documentation is organized into installation, metadata exploration, governance, automation, source connections, authorization, monitoring, configuration, engines, agents, reference and release notes. |
| Founded | LinkedIn and Gartner list DataHub's founding year as 2021. | LinkedIn lists Datastrato's founding year as 2023. |
| Governance | DataHub includes a versioned business glossary, ownership and stewardship tools, access policies and compliance controls. | RBAC, row filtering, column masking and tag-based policies are evaluated at the catalog for every request. |
| Integrations | The project advertises more than 150 integrations, including Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Power BI, Airflow, Kafka, S3 and Iceberg. | The product page names Spark, Flink, Trino, and Dremio as Iceberg catalog clients, and says the same namespace also resolves across BigQuery. |
| Purpose | DataHub describes its platform as a context platform that unifies technical metadata, business knowledge, and documentation for enterprise data and AI agents. | Datastrato is a federated metadata catalog built on Apache Gravitino and Iceberg REST Catalog for connecting data sources and governing access across clients. |
DataHub plans
- DataHub CoreFree
- DataHub CloudPriced on request
Datastrato Iceberg Lakehouse Platform plans
- Datastrato EnterprisePriced on request
Pick DataHub if…
DataHub suits enterprise data teams seeking a catalog that connects metadata, documentation, lineage, and AI tools. Core may suit teams willing to operate a self-hosted platform, while Cloud provides managed service and support.
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.