Cloudera Data Platform

Cloudera Data Platform is a hybrid data and AI platform positioned around running data workloads anywhere, spanning an object store, cloud-native data services, Cloudera AI with AI inference, and managed clusters running Apache Spark, Hive, Impala and HBase, priced by consumption.

The anywhere positioning is the commercial substance and it identifies the customer precisely. Cloudera's proposition is a consistent platform across on-premise data centres, private cloud and public cloud, which matters to a specific and substantial set of organisations.

Those are organisations that cannot simply move everything to a public cloud. Banks, insurers, healthcare providers, government bodies and telecommunications operators hold data under regulatory, sovereignty or contractual constraints that keep it on infrastructure they control, while also wanting to use cloud services where they are permitted. That leaves them running both, and the risk is ending up with two entirely separate data platforms and two teams who cannot help each other.

A single platform spanning both is the argument, and it is a real one, provided the consistency is genuine rather than a shared brand across products that behave differently.

Packaging the open source stack with support is the other half. Spark, Hive, Impala and HBase are all freely available, and an organisation can run them itself. What it cannot easily do is integrate them, secure them consistently, upgrade them without breaking things, and hold somebody accountable when a cluster fails at month end. That accountability is what is actually being bought.

Consumption pricing is published at rates including $0.04, $0.07, $0.08 and $0.20 per unit across data engineering, data flow, application services and managed clusters, which suits variable workloads better than capacity licensing and makes cost control an operational discipline.

Cloudera AI with AI inference extends the platform toward model serving on the same governed data.