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Head-to-head · Data Lakehouse Platforms

Apache Hudi vs Google Cloud Lakehouse for Apache Iceberg

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Apache Hudi #5 in Data Lakehouse Platforms 8.6/10 Open source ✓ 4 of 4 features Visit Apache Hudi
Google Cloud Lakehouse for Apache Iceberg #6 in Data Lakehouse Platforms 8.5/10 Paid ✓ 4 of 4 features Visit Google Cloud

Apache Hudi leads on 0 checks, Google Cloud Lakehouse for Apache Iceberg on 0, and 5 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 scoreApache Hudi · 8.6/10

Apache Hudi scores higher on our rubric for data lakehouse platforms: 8.6 against 8.5 out of 10; our editors rank them #5 and #6.

On storage model, Google Cloud Lakehouse for Apache Iceberg gives you Both where Apache Hudi offers External.

Apache Hudi is the better fit for open-source streaming and CDC lakehouses. Google Cloud Lakehouse for Apache Iceberg is the better fit for managed Iceberg on Google Cloud.

  • Apache Hudi fits best

    Open-source streaming and CDC lakehouses

  • Google Cloud Lakehouse for Apache Iceberg fits best

    Managed Iceberg on Google Cloud

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Side by side

Feature Apache Hudi 8.6/10 Visit ↗ Google Cloud Lakehouse for Apache Iceberg 8.5/10 Visit ↗
At a glance
Editor score 8.6 8.5
Ranking #5 in Data Lakehouse Platforms #6 in Data Lakehouse Platforms
Best for Open-source streaming and CDC lakehouses Managed Iceberg on Google Cloud
Pricing model Free Paid
Starting price Open source —
Free plan Not checked yet —
Free trial — —
Deployment Self-hosted Cloud
Support Community, Docs Tickets, Community, Docs · 24/7
Integrations 20 integrations 13 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Hudi 4/4 · Google Cloud Lakehouse for Apache Iceberg 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model External Both
Table format support Both Both
Our review
Pros
  • ACID tables with upserts, deletes, CDC, and time travel
  • Supports Spark SQL, Flink SQL, streaming, and batch pipelines
  • Integrates with Kafka, databases, cloud storage, and catalogs
  • Managed Iceberg tables with REST Catalog and BigQuery SQL
  • Interoperability with Spark, Flink, Hive, and Trino
  • Governance, CDC, automated maintenance, and federation features
Cons
  • Requires self-hosted deployment and operational ownership
  • External storage architecture adds infrastructure decisions
  • Copy-on-Write and Merge-on-Read require table design choices
  • No standalone free plan
  • Usage-based pricing spans several charge categories
  • Cross-cloud federation supports selected external catalogs
Our verdict

Apache Hudi is an open-source, self-hosted data lakehouse platform for teams building streaming, CDC, incremental, and batch data pipelines. It adds transactional tables with ACID guarantees, updates, deletes, change capture, indexing, and…

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 →
  1. Apache HudiData Lakehouse Platforms 8.6Open source
  2. Google Cloud Lakehouse for Apache IcebergData Lakehouse Platforms 8.5Paid

Strengths and trade-offs

  • Apache Hudi — where it wins

    • ACID tables with upserts, deletes, CDC, and time travel
    • Supports Spark SQL, Flink SQL, streaming, and batch pipelines
    • Integrates with Kafka, databases, cloud storage, and catalogs

    Where it doesn't

    • Requires self-hosted deployment and operational ownership
    • External storage architecture adds infrastructure decisions
    • Copy-on-Write and Merge-on-Read require table design choices

  • 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

More comparisons

All data lakehouse platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update