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Head-to-head · Data Lakehouse Platforms

Cloudera Open Data Lakehouse vs Onehouse Cloud

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side

Cloudera Open Data Lakehouse leads on 0 checks, Onehouse Cloud 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 scoreCloudera Open Data Lakehouse · 8.4/10

Cloudera Open Data Lakehouse scores higher on our rubric for data lakehouse platforms: 8.4 against 8.3 out of 10; our editors rank them #7 and #8.

On table format support, Onehouse Cloud gives you Both where Cloudera Open Data Lakehouse offers Open.

Cloudera Open Data Lakehouse is the better fit for hybrid enterprise Iceberg deployments. Onehouse Cloud is the better fit for open-format lakehouse optimization and CDC.

  • Cloudera Open Data Lakehouse fits best

    Hybrid enterprise Iceberg deployments

  • Onehouse Cloud fits best

    Open-format lakehouse optimization and CDC

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Side by side

Feature Cloudera Open Data Lakehouse 8.4/10 Visit ↗ Onehouse Cloud 8.3/10 Visit ↗
At a glance
Editor score 8.4 8.3
Ranking #7 in Data Lakehouse Platforms #8 in Data Lakehouse Platforms
Best for Hybrid enterprise Iceberg deployments Open-format lakehouse optimization and CDC
Pricing model Paid Paid
Starting price $0.05/unit usage-based Not checked yet
Free plan — Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Email, Phone, Community, Docs Email, Docs
Compliance SOC 2, ISO 27001, GDPR, PCI DSS SOC 2, PCI DSS
Integrations 6 integrations 12 integrations
Built for Enterprise, Mid-market Mid-market, Enterprise
Features Cloudera Open Data Lakehouse 4/4 · Onehouse Cloud 4/4
SQL analytics ✓ ✓
ACID transactions ✓ ✓
Streaming ingestion ✓ ✓
Governance catalog ✓ ✓
Specs
Storage model Both Both
Table format support Open Both
Our review
Pros
  • 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
  • Supports Apache Hudi, Apache Iceberg, and Delta Lake
  • Combines SQL, Spark, streaming, and database CDC pipelines
  • Synchronizes external catalogs and access controls
Cons
  • 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
  • Customers pay their own cloud infrastructure costs
  • Requires a customer virtual private cloud deployment
  • Founded in 2021, with a shorter operating history
Our verdict

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 →

Onehouse Cloud is a managed data lakehouse platform for data engineering, analytics, artificial intelligence, and machine-learning workloads. It runs in the customer's virtual private cloud and supports ingestion from streaming, database,…

Read the review →
  1. Cloudera Open Data LakehouseData Lakehouse Platforms 8.4Paid
  2. Onehouse CloudData Lakehouse Platforms 8.3Paid

Strengths and trade-offs

  • 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
  • Onehouse Cloud — where it wins

    • Supports Apache Hudi, Apache Iceberg, and Delta Lake
    • Combines SQL, Spark, streaming, and database CDC pipelines
    • Synchronizes external catalogs and access controls

    Where it doesn't

    • Customers pay their own cloud infrastructure costs
    • Requires a customer virtual private cloud deployment
    • Founded in 2021, with a shorter operating history

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update