Head-to-head · Data Lakehouse Platforms
Starburst Galaxy vs Google Cloud Lakehouse for Apache Iceberg
Starburst Galaxy leads on 1 check, Google Cloud Lakehouse for Apache Iceberg on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreStarburst Galaxy · 8.8/10
- Free planonly Starburst Galaxy
- Free trialonly Starburst Galaxy
Starburst Galaxy scores higher on our rubric for data lakehouse platforms: 8.8 against 8.5 out of 10; our editors rank them #4 and #6.
Starburst Galaxy offers free plan; Google Cloud Lakehouse for Apache Iceberg doesn't. On table format support, Google Cloud Lakehouse for Apache Iceberg gives you Both where Starburst Galaxy offers Open.
Starburst Galaxy is the better fit for managed federated SQL with enterprise identity controls. Google Cloud Lakehouse for Apache Iceberg is the better fit for managed Iceberg on Google Cloud.
- Starburst Galaxy fits best
Managed federated SQL with enterprise identity controls
- Google Cloud Lakehouse for Apache Iceberg fits best
Managed Iceberg on Google Cloud
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Side by side
| Feature | Starburst Galaxy 8.8/10 Visit ↗ | Google Cloud Lakehouse for Apache Iceberg 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #4 in Data Lakehouse Platforms | #6 in Data Lakehouse Platforms |
| Best for | Managed federated SQL with enterprise identity controls | Managed Iceberg on Google Cloud |
| Pricing model | Free plan + paid | Paid |
| Starting price | $0.50/unit usage-based | — |
| Free plan | ✓ (best) | — |
| Free trial | 30 days | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Live chat, Tickets, Community, Docs · 24/7 | Tickets, Community, Docs · 24/7 |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML | SOC 2, ISO 27001, GDPR, HIPAA |
| Integrations | 50+ integrations | 13 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Starburst Galaxy 4/4 · Google Cloud Lakehouse for Apache Iceberg 4/4 | ||
| SQL analytics | ✓ | ✓ |
| ACID transactions | ✓ | ✓ |
| Streaming ingestion | ✓ | ✓ |
| Governance catalog | ✓ | ✓ |
| Specs | ||
| Storage model | Both | Both |
| Table format support | Open | Both |
| Our review | ||
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| Cons |
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| Our verdict | Starburst Galaxy is a fully managed cloud data lake analytics platform built on Trino. It is designed for data teams and enterprises that need interactive, batch, federated, and lakehouse analytics without copying data between systems.… Read the review → |
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… Read the review → |
Strengths and trade-offs
Starburst Galaxy — where it wins
- Federated SQL across lakes, warehouses, databases, and streaming systems
- Iceberg tables with snapshots, time travel, and Kafka streaming ingestion
- SAML SSO, SCIM, row filters, column masking, and REST automation
Where it doesn't
- Usage-based pricing is charged per compute credit
- Cloud-only coverage may not fit self-hosted deployment requirements
- Advanced capabilities are reserved for higher paid tiers
Google Cloud Lakehouse for Apache Iceberg — 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
- Starburst Galaxy8.8/10 · Free plan · 30-day trial
A managed Trino-based lakehouse platform for federated SQL and governed analytics.
Try Starburst GalaxyFull verdict → - Google Cloud Lakehouse for Apache Iceberg8.5/10 · Paid
A managed Iceberg lakehouse for Google Cloud teams using BigQuery and open engines.
Visit Google CloudFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






