Cloudera Data Platform alternatives

3 tools to consider instead of Cloudera Data Platform, shown against it.

Cloudera Data Platform Databricks Dremio Onehouse
Vendor Cloudera, Inc. Databricks, Inc. Dremio Corporation Onehouse, Inc.
Pricing model Quote only Usage-based Usage-based Quote only
Free tier No Yes Yes No
Deployment Cloud, Self-hosted Cloud Cloud, Self-hosted Cloud
Open source No No No No
Best for Large regulated enterprises with existing Hadoop-ecosystem investments needing hybrid or on-premises lakehouse deployment. Organizations wanting a single managed platform spanning data engineering, SQL analytics and machine learning on Spark. Teams wanting to run governed SQL analytics directly on lake data without a separate warehouse copy. Teams wanting managed Hudi-based ingestion with interoperability across Iceberg and Delta consumers.
Pricing

Consumption-based licensing (Cloudera Consumption Units) across compute and services; public pricing figures are not published and require contacting Cloudera sales.

Pricing has not been verified yet — see the vendor's site.

Pay-as-you-go pricing metered in Databricks Units (DBUs) per second, varying by workload type and tier, plus separate underlying cloud infrastructure costs; committed-use contracts offer discounts. A limited free Community Edition exists.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Dremio Cloud is billed per Dremio Compute Unit (DCU) with a 30-day free-credit trial; Dremio Enterprise/Software pricing requires contacting sales.

Dremio Cloud $0.20 per DCU
Dremio Enterprise Contact sales

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Sold as a managed, usage-based service; the public site does not publish tiered figures and directs prospects to a sales conversation.

Pricing has not been verified yet — see the vendor's site.

Features
  • Unified data warehouse, data engineering, ML, and streaming services
  • Shared governance and security via SDX (Shared Data Experience)
  • Hybrid and multi-cloud deployment, including on-premises
  • Built on open-source Hadoop-ecosystem components (Spark, Hive, Kafka, NiFi)
  • Cloudera Machine Learning workbenches for data science teams
  • Fine-grained data lineage and cataloging across workloads
  • Support for open table formats including Apache Iceberg
  • Managed Apache Spark clusters with the Photon execution engine
  • Unity Catalog for governance and lineage
  • Delta Lake open table format
  • Notebook-based collaborative workspace
  • MLflow for experiment tracking and model deployment
  • Databricks SQL for warehouse-style BI workloads
  • SQL query engine directly over data-lake and database sources
  • Native Apache Iceberg table format support
  • Apache Arrow-based in-memory columnar processing
  • Reflections: auto-maintained materializations for query acceleration
  • Semantic layer with virtual datasets and governed spaces
  • Data-as-code versioning via Nessie catalog integration
  • Cloud (managed) and self-hosted software deployment options
  • Managed ingestion from databases, streams, and files
  • Automatic table services: compaction, clustering, cleaning
  • Universal metadata layer exposing Hudi, Iceberg, and Delta views of the same data
  • Bring-your-own-cloud deployment inside the customer's account
  • Built by the original Apache Hudi creators
  • Incremental processing for downstream streaming consumers

In the index now