Data Plane · Lakehouse Platforms

Cloudera

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.

Overview

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.

Key features and capabilities

The same headings are used for every lakehouse platforms entry, so two tools can be read side by side.

Architecture and storage
  • Hybrid by design, running the same containerised data services on-premises and in cloud
  • Modular product line rather than one monolithic platform
  • Cloudera Object Store provides storage built on Apache Ozone, S3-compatible
  • Scales to billions of objects, with total cost of ownership as the stated advantage
Engines and workloads
  • Containerised data services deliver the analytics and application engines
  • Specific engine versions and choices are not detailed on the public product pages
Table formats and catalogues
  • Apache lineage throughout, with Ozone underpinning the object store
  • Open format support is implied by that lineage but not specified publicly
Security and governance
  • Digital sovereignty is the stated goal of the hybrid architecture
  • Keeping data in a chosen jurisdiction or data centre is the governing use case
  • The governance model itself is not detailed on the public pages
AI and machine learning
  • Cloudera Anywhere Cloud is positioned explicitly for the agentic era
  • Activating AI across the enterprise while keeping data in place is the central claim
Ecosystem and integrations
  • Built on and around the Apache data ecosystem
  • Sold as an end-to-end platform rather than a component to assemble
Where it runs and what it costs
  • On-premises, single cloud, or across clouds, with the same services
  • Containerised delivery is what makes that portability work
  • No published pricing; sold through an enterprise sales process

Pricing

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.

Vendor pricing page →

Demos and videos

About Cloudera

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.

cloudera.com

Other lakehouse platforms tools

Databricks

Data Plane · Lakehouse Platforms

Lakehouse platform built on Apache Spark and open table formats, governed through Unity Catalog.

  • Commercial

Dremio

Data Plane · Lakehouse Platforms

Lakehouse query engine and semantic layer built on Apache Iceberg and Apache Arrow.

  • Open core

Microsoft Fabric

Data Plane · Lakehouse Platforms

SaaS analytics platform that unifies data engineering, warehousing, real-time analytics and Power BI on OneLake.

  • Cloud service

Starburst

Data Plane · Lakehouse Platforms

Commercial data platform based on Trino, for querying data across many sources.

  • Commercial

Drafted with AI assistance and checked against the vendor’s own documentation.

Cloudera: Lakehouse Platforms · UDP