Cloudera

Cloudera is a hybrid data and AI platform for running analytics and AI workloads across clouds, data centers, and the edge with governance and an open data lakehouse.

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Overview

Cloudera is a hybrid data and AI platform designed to bring AI to data anywhere it lives, including public clouds, data centers, and the edge. The platform is presented as a way for large organizations to manage data, analytics, and AI workloads without giving up control, governance, or workload portability.

Across the source pages, Cloudera emphasizes a consistent experience across environments, unified governance, and support for AI, analytics, and real-time processing. It combines platform services for data management with an open data lakehouse approach and shared data experience controls for hybrid deployments.

Core capabilities

Unified runtime

Run the same applications on-premises and in the cloud without code changes, with support for cloud bursting when demand changes.

Comprehensive data services

Ingest, engineer, warehouse, and run AI and ML workloads in one platform to reduce tool sprawl and simplify pipelines.

Centralized security and governance

Apply consistent security, compliance, lineage, and audit policies across environments through Cloudera Shared Data Experience.

Open and scalable architecture

Use Apache Iceberg and Kubernetes-based architecture to scale across hybrid environments while keeping the platform open and portable.

Open data lakehouse

Work with an open data lakehouse that combines lake and warehouse characteristics for AI, analytics, and data sharing.

Data in motion

Process data in motion from edge to cloud for near real-time decisions and streaming analytics.

Common use cases

Hybrid application deployment
Build and run data and AI workloads across on-premises and cloud environments while keeping the user experience consistent.
Enterprise AI
Train, deploy, and govern AI models and agentic AI workflows close to governed data for private AI use cases.
Open lakehouse modernization
Unify structured and unstructured data in an open lakehouse to support analytics, AI applications, and data sharing.
Real-time analytics and IoT
Process streaming and IoT data from edge to cloud for near real-time insights and operational decisions.
Unified governance across environments
Apply centralized security, lineage, and audit policies across a distributed data estate to support compliance and control.

Pros and Cons

Pros

Supports hybrid deployment across clouds, data centers, and the edge.
Offers consistent services, APIs, and UI across environments.
Combines data management, analytics, AI, and streaming workflows in one platform.
Uses open standards such as Apache Iceberg and Kubernetes.
Adds unified governance and lineage controls across hybrid data estates.

Cons

The site does not publish pricing details on the provided pages, and the pricing URL returns a 404.
The source material provides limited public detail on specific third-party integrations and connectors.

FAQ

What is Cloudera?

Cloudera is a hybrid data and AI platform built to bring AI to data anywhere it lives, including clouds, data centers, and the edge.

Does Cloudera publish pricing on its website?

The source material highlights platform capabilities, customer stories, and resources, but it does not provide public pricing details on the site. The pricing page currently returns a 404.

What kinds of workloads does Cloudera support?

Cloudera’s platform is described as supporting data management, analytics, AI workloads, unified governance, and real-time data processing across hybrid environments.

Who is Cloudera designed for?

The site positions Cloudera for large organizations that need consistent services, security, governance, and workload portability across on-premises and cloud environments.

Quick Facts

Category: Hybrid data and AI platform
Platform shape: Cloud, data center, and edge deployment
Primary users: Large organizations and data teams
Open standards: Apache Iceberg, Kubernetes
Source domain: cloudera.com
Pricing: Not publicly available on the provided pages