Cloudera
Hybrid data platform for analytics and ML
About
Founded in 2008 by researchers from Yahoo, Google, Facebook, and Oracle, Cloudera commercialized Apache Hadoop and later built the Cloudera Data Platform (CDP)—a hybrid and multi-cloud data lakehouse supporting data engineering, warehousing, machine learning, and operational analytics from a single control plane. After merging with Hortonworks in 2019, Cloudera went private via KKR in 2021. It serves large enterprises in financial services, telecommunications, and government that require regulated, on-premises or hybrid data environments. Cloudera competes with Databricks and cloud-native lakehouses, differentiating on data sovereignty controls, unified security and governance via Apache Ranger and Atlas, and multi-cloud portability.
Products
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Cloudera Platform
— Unified hybrid data and AI platform enabling AI deployment anywhere—cloud, data centers, or edge—without sacrificing control or performance.
Customer sectors: enterprise IT, data scientists, cloud architects
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Object Store Data Services
— Cloud-native object storage service delivering agile, scalable data and AI application support anywhere.
Customer sectors: cloud operators, data engineers, AI developers
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Cloudera AI
— Enterprise AI solution to develop, deploy, and scale AI models securely anywhere with private AI governance and inference.
Customer sectors: data scientists, ML engineers, business analysts
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Data Flow
— Data streaming service for real-time data movement and processing across hybrid environments, enabling faster business decisions.
Customer sectors: data engineers, DevOps, IoT developers
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Open Data Lakehouse
— Open data lakehouse powered by Apache Iceberg providing unified, trusted data for AI, analytics, and collaboration.
Customer sectors: data analysts, enterprise IT, data engineers
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Cloudera — available to members.
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