Google Cloud Lakehouse for Apache Iceberg
Google Cloud Lakehouse for Apache Iceberg: A managed Iceberg lakehouse for Google Cloud teams using BigQuery and open engines. Ranked #6 of 23 in Data Lakehouse Platforms by our editors (8.5/10); pricing: Paid; best for managed Iceberg on Google Cloud.
At a glance
- Editor score8.5 / 10
- PricingPaid
- Best forManaged Iceberg on Google Cloud
- Free planNo
- Storage modelBoth
- Founded1998 · Mountain View, California, United States
- Facts checked20 Sep 2026
Where it wins
- Managed Iceberg tables with REST Catalog and BigQuery SQL
- Interoperability with Spark, Flink, Hive, and Trino
- Governance, CDC, automated maintenance, and federation features
Where it doesn't
- No standalone free plan
- Usage-based pricing spans several charge categories
- Cross-cloud federation supports selected external catalogs
Our verdict on Google Cloud Lakehouse for Apache Iceberg
Google Cloud Lakehouse for Apache Iceberg is a managed lakehouse platform for analytical, transactional, streaming, and AI workloads built on open table formats. It is aimed at organizations that want managed Apache Iceberg tables, a serverless runtime catalog, Cloud Storage-based data management, and BigQuery integration while retaining access to open processing engines. Its read/write interoperability with Apache Spark, Flink, Hive, and Trino makes it suitable for teams with mixed data-engineering environments.
Pricing is usage-based and divided across metadata storage, table management, metadata access, and catalog federation metadata refresh. The Metadata storage free tier includes 1 GiB of metadata storage per month; additional metadata storage is charged under the Metadata storage plan. Table management covers automatic table storage optimization, adaptive file sizing, automatic clustering, garbage collection, and BigQuery metadata generation. Separate Class A and Class B metadata access categories distinguish write-oriented operations from read, get, and delete operations. This structure gives buyers several cost dimensions to monitor rather than one simple subscription tier.
The platform’s strongest fit is a Google Cloud estate centered on BigQuery, Cloud Storage, and managed Spark, with governance needs handled through Knowledge Catalog, table ACLs, and IAM-based access control. Streaming CDC into Iceberg tables and integrations with AlloyDB and Spanner extend its role beyond batch analytics. Cross-cloud catalog federation connects with AWS Glue, Databricks Unity Catalog, and Snowflake Horizon Catalog, while the REST Catalog API supports Iceberg-compatible workflows. Teams seeking a narrow, single-engine warehouse experience may find this broader, multi-engine architecture more than they need.
Google Cloud Lakehouse for Apache Iceberg pricing
All 6 Google Cloud Lakehouse for Apache Iceberg plans and prices →
Google Cloud Lakehouse for Apache Iceberg fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Storage model | Both |
| SQL analytics | Yes |
| ACID transactions | Yes |
| Table format support | Both |
| Streaming ingestion | Yes |
| Governance catalog | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA |
| Support | Tickets, Community, Docs · 24/7 |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: BigQuery, Cloud Storage, Google Cloud Managed Service for Apache Spark, Apache Spark, Apache Flink, Apache Hive … |
| Pricing | Paid (source) |
| Website | cloud.google.com |
| Facts checked | 20 Sep 2026 |
Google Cloud Lakehouse for Apache Iceberg integrations
Google Cloud Lakehouse for Apache Iceberg lists 13 integrations on its own site.
- BigQuery
- Cloud Storage
- Google Cloud Managed Service for Apache Spark
- Apache Spark
- Apache Flink
- Apache Hive
- Trino
- Knowledge Catalog
- AlloyDB
- Spanner
- AWS Glue
- Databricks Unity Catalog
- Snowflake Horizon Catalog
Alternatives to Google Cloud Lakehouse for Apache Iceberg
- Databricks Data Intelligence PlatformA broad lakehouse platform for engineering, analytics, streaming, machine learning, and AI.9.4
- DremioA flexible lakehouse for querying diverse data estates across cloud and self-hosted environments.9.1
- Starburst Data PlatformA broad Trino-based lakehouse for federated SQL, ingestion, and governed analytics.8.9
See all Google Cloud Lakehouse for Apache Iceberg alternatives →
Google Cloud Lakehouse for Apache Iceberg vs the competition
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- Google Cloud Lakehouse for Apache Iceberg vs Apache Hudi
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Google Cloud Lakehouse for Apache Iceberg for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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