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Head-to-head · Data Lakehouse Platforms

Apache Hudi vs Cloudera Open Data Lakehouse

  • 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

Apache Hudi leads on 0 checks, Cloudera Open Data Lakehouse 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 8.4 out of 10; our editors rank them #5 and #7.

On storage model, Cloudera Open Data Lakehouse gives you Both where Apache Hudi offers External. On table format support, Apache Hudi gives you Both where Cloudera Open Data Lakehouse offers Open.

Apache Hudi is the better fit for open-source streaming and CDC lakehouses. Cloudera Open Data Lakehouse is the better fit for hybrid enterprise Iceberg deployments.

  • Apache Hudi fits best

    Open-source streaming and CDC lakehouses

  • Cloudera Open Data Lakehouse fits best

    Hybrid enterprise Iceberg deployments

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Side by side

Feature Apache Hudi 8.6/10 Visit ↗ Cloudera Open Data Lakehouse 8.4/10 Visit ↗
At a glance
Editor score 8.6 8.4
Ranking #5 in Data Lakehouse Platforms #7 in Data Lakehouse Platforms
Best for Open-source streaming and CDC lakehouses Hybrid enterprise Iceberg deployments
Pricing model Free Paid
Starting price Open source $0.05/unit usage-based
Free plan Not checked yet —
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Community, Docs Email, Phone, Community, Docs
Integrations 20 integrations 6 integrations
Built for Small business, Mid-market, Enterprise Enterprise, Mid-market
Features Apache Hudi 4/4 · Cloudera Open Data Lakehouse 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model External Both
Table format support Both Open
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
  • Apache Iceberg ACID tables with open catalog interoperability
  • Hybrid and multicloud deployment across cloud and on-premises environments
  • Governance, streaming, orchestration, SQL, and machine learning in one platform
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 free plan; the product is paid
  • Pricing is component- and usage-based rather than package-based
  • The plan structure separates optimization from the on-premises base
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 →

Cloudera Open Data Lakehouse combines data-lake flexibility with data-warehouse analytics for enterprise data teams. Built on Apache Iceberg, it supports SQL analytics with Hive and Impala, ACID transactions, streaming ingestion, data…

Read the review →
  1. Apache HudiData Lakehouse Platforms 8.6Open source
  2. Cloudera Open Data LakehouseData Lakehouse Platforms 8.4Paid

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
  • Cloudera Open Data Lakehouse — where it wins

    • Apache Iceberg ACID tables with open catalog interoperability
    • Hybrid and multicloud deployment across cloud and on-premises environments
    • Governance, streaming, orchestration, SQL, and machine learning in one platform

    Where it doesn't

    • No free plan; the product is paid
    • Pricing is component- and usage-based rather than package-based
    • The plan structure separates optimization from the on-premises base

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update