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Head-to-head · Data Lake Software

Cloudera Data Lake Service vs Oracle Big Data Service

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Cloudera Data Lake Service #2 in Data Lake Software 9.1/10 Pricing on request ✓ 4 of 4 features Visit Cloudera

Cloudera Data Lake Service leads on 0 checks, Oracle Big Data Service 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 Data Lake Service · 9.1/10
  • Most featuresCloudera Data Lake Service · 4 of 4

Cloudera Data Lake Service scores higher on our rubric for data lake software: 9.1 against 8.1 out of 10; our editors rank them #2 and #8.

On deployment model, Cloudera Data Lake Service gives you Hybrid where Oracle Big Data Service offers Cloud.

Cloudera Data Lake Service is the better fit for enterprise hybrid data lakes. Oracle Big Data Service is the better fit for oracle-centered Hadoop data lakes.

  • Cloudera Data Lake Service fits best

    Enterprise hybrid data lakes

  • Oracle Big Data Service fits best

    Oracle-centered Hadoop data lakes

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Side by side

Feature Cloudera Data Lake Service 9.1/10 Visit ↗ Oracle Big Data Service 8.1/10 Visit ↗
At a glance
Editor score 9.1 8.1
Ranking #2 in Data Lake Software #8 in Data Lake Software
Best for Enterprise hybrid data lakes Oracle-centered Hadoop data lakes
Pricing model Paid Paid
Starting price Pricing on request $0.02/unit usage-based
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Tickets, Community, Docs · 24/7 Community, Docs
Integrations 7 integrations 9 integrations
Built for Enterprise Mid-market, Enterprise
Features Cloudera Data Lake Service 4/4 · Oracle Big Data Service 2/4
Metadata catalog ✓ ✓
Governance controls ✓ ✓
Open table formats ✓ (best) Not checked yet
Data sharing ✓ (best) Not checked yet
Specs
Deployment model Hybrid Cloud
Ingestion modes Both Both
Query interface Both Both
Our review
Pros
  • Comprehensive cataloging, governance, lineage, and chain-of-custody auditing
  • Supports Apache Iceberg sharing, SQL access, Spark, Hive, and Impala
  • Hybrid deployment with role- and attribute-based access policies
  • Managed Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink
  • Ranger governance with fine-grained access control and auditing
  • OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub
Cons
  • Pricing uses consumption or contact-sales models instead of published tiers
  • Positioning centers on Cloudera Data Platform environments
  • Enterprise governance depth may exceed the needs of minimal lake setups
  • Paid service with no free plan
  • Compute, storage, and Cloud SQL charges are billed separately
  • Its core approach centers on Hadoop and Oracle Cloud services
Our verdict

Cloudera Data Lake Service provides governed data-lake capabilities for enterprise environments spanning cloud and on-premises deployments. It manages schemas and metadata, supports cataloging and search, applies role- and attribute-based…

Read the review →

Oracle Big Data Service is a managed cloud service for deploying Hadoop-based data lakes on Oracle Cloud Infrastructure. It is designed for organizations that need configurable clusters with HDFS, YARN, Hive, Spark, HBase, Kafka, Flink,…

Read the review →
  1. Cloudera Data Lake ServiceData Lake Software 9.1Pricing on request
  2. Oracle Big Data ServiceData Lake Software 8.1Paid

Strengths and trade-offs

  • Cloudera Data Lake Service — where it wins

    • Comprehensive cataloging, governance, lineage, and chain-of-custody auditing
    • Supports Apache Iceberg sharing, SQL access, Spark, Hive, and Impala
    • Hybrid deployment with role- and attribute-based access policies

    Where it doesn't

    • Pricing uses consumption or contact-sales models instead of published tiers
    • Positioning centers on Cloudera Data Platform environments
    • Enterprise governance depth may exceed the needs of minimal lake setups
  • Oracle Big Data Service — where it wins

    • Managed Hadoop provisioning with HDFS, Spark, Hive, Kafka, and Flink
    • Ranger governance with fine-grained access control and auditing
    • OCI integrations, SQL analysis, APIs, CLI, SDK, and JupyterHub

    Where it doesn't

    • Paid service with no free plan
    • Compute, storage, and Cloud SQL charges are billed separately
    • Its core approach centers on Hadoop and Oracle Cloud services
  • Cloudera Data Lake Service9.1/10 · Pricing on request

    A mature hybrid data lake service for enterprises needing governance, lineage, and Iceberg support.

    Visit ClouderaFull verdict →
  • Oracle Big Data Service8.1/10 · Paid

    A strong Oracle-centered Hadoop lake service with usage-based pricing and broad ODH components.

    Visit OracleFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update