Datastrato Iceberg Lakehouse Platform vs Google Cloud Lakehouse for Apache Iceberg
Datastrato Iceberg Lakehouse Platform
datastrato.ai
Google Cloud Lakehouse for Apache Iceberg
cloud.google.comSide by side
| Figure | Datastrato Iceberg Lakehouse Platform | Google Cloud Lakehouse for Apache Iceberg |
|---|---|---|
| Price from | — | $0.04/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | — |
| Web | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 11 |
| Spec score · Data Lakehouse Platforms | 8.4 (#4) | 9.0 (#2) |
| Company size | LinkedIn lists Datastrato as a privately held software-development company with 11–50 employees. | LinkedIn lists Google as a public software-development company with more than 10,001 employees. |
| Founded | LinkedIn lists Datastrato's founding year as 2023. | 1998 |
| Governance | RBAC, row filtering, column masking and tag-based policies are evaluated at the catalog for every request. | Knowledge Catalog integration supports centralized governance policies, semantic search, lineage and quality checks across engines. |
| License | Apache Gravitino, the underlying engine, is licensed under Apache License 2.0; Enterprise is a commercial distribution. | The Apache Iceberg project is distributed under the Apache License 2.0; Google Cloud Lakehouse itself is a proprietary managed service. |
| What it does | Datastrato provides a federated metadata catalog and Iceberg REST platform for governing data and AI assets across clouds, engines and formats. | Google Cloud Lakehouse is a managed storage and governance layer for Apache Iceberg data, separating storage from compute and allowing shared access by analytics engines. |
Plans
Datastrato Iceberg Lakehouse Platform
- Datastrato EnterprisePriced on request
Google Cloud Lakehouse for Apache Iceberg
- Metadata storage free tierPriced on request
- Metadata storagePriced on request
- Table managementPriced on request
- Class A metadata accessPriced on request
- Class B metadata accessPriced on request
- Catalog federation metadata refreshPriced on request
- Metadata storage included tierFree
- Metadata storage overage$0.04 a month
- Lakehouse table management$0.12 a month
- Class B metadata access$0.90 a month
In their own words
Datastrato Iceberg Lakehouse Platform
Datastrato Iceberg Lakehouse Platform is a federated metadata catalog for connecting data sources and governing access across clients. Built on Apache Gravitino and Iceberg REST Catalog, it provides a standards-compliant REST catalog with metadata caching and table maintenance for production lakehouses. It can register Iceberg, Hive, Glue, relational databases, Kafka, filesets, and models in place without copying metadata. Spark, Flink, Trino, and Dremio are named Iceberg catalog clients, and the same namespace resolves across BigQuery. Governance includes catalog-level role-based access, row filtering, column masking, tag-based policies, and auditing across engines and agents. S3, GCS, and ADLS are supported with short-lived scoped credentials per principal. Agents can use an MCP metadata interface and GVFS under the same access controls. Per-table compaction, snapshot expiry, and orphan cleanup jobs can be sent to Airflow, Kubernetes, EMR, or Databricks. Enterprise is installed with a Helm chart in Kubernetes and activated by license key. Pricing is on request; the commercial distribution includes support with a defined response commitment and maintained release line.
Google Cloud Lakehouse for Apache Iceberg
Google Cloud Lakehouse for Apache Iceberg is a web service for working with Apache Iceberg tables. Its listed capabilities include SQL analytics, ACID transactions, streaming ingestion, and a governance catalog, with both listed storage models and table-format categories supported. Charges are organized by metadata storage, table management, metadata access, and catalog federation refresh rather than a single stated plan price. Metadata storage includes 1 GiB free each month; additional storage starts at $0.04 per GiB per month. Table management starts at $0.12 per DCU-hour and includes storage optimization, adaptive file sizing, automatic clustering, garbage collection, and BigQuery metadata generation. Class A metadata access includes 5,000 free operations monthly, and Class B includes 50,000. Catalog federation metadata refresh lists 0 to 5,001 free operations per account each month. The service is paid overall and has no free plan, despite those component-level free allowances. Listed billing thresholds are above 5,001 operations for Class A and catalog refresh, and above 50,001 for Class B. Google was founded in 1998 and is headquartered in Mountain View, California.