Databricks
Data Plane · Lakehouse Platforms
Lakehouse platform built on Apache Spark and open table formats, governed through Unity Catalog.
- Commercial
Data Plane · Lakehouse Platforms
Hybrid data and AI platform running the same containerised data services on-premises and in cloud, with its own S3-compatible object store built on Apache Ozone.
Cloudera is the platform in this category that treats on-premises as a first-class destination rather than a legacy obligation. Its pitch is the same containerised data services running wherever the data lives — in cloud, across clouds, or in your own data centre — and it uses the phrase digital sovereignty, which tells you the buyers it is written for.
That is the axis on which to compare it with Databricks and Snowflake. Those are cloud-native platforms that have added varying degrees of private connectivity; Cloudera starts from hybrid and works outward. For an organisation whose data cannot leave a jurisdiction or a building, that difference is the whole decision.
The product line is modular. Cloudera Anywhere Cloud is the hybrid platform positioned for agentic workloads. Cloudera Platform is the core data and AI platform. Cloudera Data Services provide the containerised application and analytics services. Cloudera Object Store is its own storage layer, built on Apache Ozone, S3-compatible and aimed at billions of objects with lower total cost than the alternative.
The Apache lineage runs deep — the company's history is Hadoop and the wider Apache data ecosystem — and Ozone underneath the object store is a continuation of that rather than a departure.
What the public product pages do not give is depth on the engines, table formats or governance model, and no pricing is published anywhere. Cloudera sells to large enterprises through a sales process, and the marketing pages are pitched at that audience rather than at a practitioner comparing specifications.
The same headings are used for every lakehouse platforms entry, so two tools can be read side by side.
Price on request
Nothing is published. Cloudera sells to large enterprises through a sales process, so licensing model, tiers and rates are all unavailable publicly. Its cost argument is made for the object store specifically, where lower total cost of ownership is claimed against alternatives, but without figures.
Cloudera sells a hybrid data and AI platform to large enterprises, with a product line spanning a hybrid cloud platform, containerised data services and an S3-compatible object store built on Apache Ozone. Its distinctive commitment is running the same services on-premises and in cloud, framed around digital sovereignty. It grew out of the Hadoop and Apache data ecosystem and retains that lineage in its components. No pricing is published, and the public product pages are pitched at enterprise buyers rather than at practitioners comparing technical specifications.
Data Plane · Lakehouse Platforms
Lakehouse platform built on Apache Spark and open table formats, governed through Unity Catalog.
Data Plane · Lakehouse Platforms
Lakehouse query engine and semantic layer built on Apache Iceberg and Apache Arrow.
Data Plane · Lakehouse Platforms
SaaS analytics platform that unifies data engineering, warehousing, real-time analytics and Power BI on OneLake.
Data Plane · Lakehouse Platforms
Commercial data platform based on Trino, for querying data across many sources.
Drafted with AI assistance and checked against the vendor’s own documentation.