
Datastrato Iceberg Lakehouse Platform
6.6#5 in active metadata management softwareAPILinuxSelf-hosted
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| Fact | Datastrato Iceberg Lakehouse Platform | SAP Customer Data Platform |
|---|---|---|
| Deployment | Datastrato Enterprise is installed from a Helm chart into a Kubernetes cluster and activated with a license key; local evaluation uses local Kubernetes. | SAP describes Customer Data Platform as a multitenant software-as-a-service solution. |
| Documentation depth | The Enterprise documentation is organized into installation, metadata exploration, governance, automation, source connections, authorization, monitoring, configuration, engines, agents, reference and release notes. | Official technical materials include help manuals, technical specifications, integration instructions, schemas, security guidance, learning courses, and release notes. |
| Founded | LinkedIn lists Datastrato's founding year as 2023. | 1972 |
| Integrations | The product page names Spark, Flink, Trino, and Dremio as Iceberg catalog clients, and says the same namespace also resolves across BigQuery. | SAP provides out-of-the-box and custom connectors for importing data from multiple sources and configuring destinations. |
| Public API | The platform retains Apache Gravitino REST endpoints, client libraries and connector names, and exposes standard Iceberg REST APIs. | Supported REST APIs ingest, query, delete, and audit customer data and can upload product catalogs. |
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.
It suits enterprises seeking unified customer profiles and permission-based data activation across engagement systems. Teams using SAP ERP or other listed integration options may find its connections relevant.