Cloudera provides a unified data platform that enables enterprises to manage, analyze, and secure data across hybrid and multi-cloud environments, supporting analytics, machine learning, and data engineering at scale.
Last updated Mar 7, 2026 by AI Enrichment
Leading enterprise data platform provider with strong presence in hybrid cloud data management
Cloudera is a leading enterprise data platform company that provides hybrid and multi-cloud data management, analytics, and machine learning solutions. Founded in 2008, the company built its reputation on Apache Hadoop-based big data solutions before evolving into a comprehensive data platform provider. In 2021, Cloudera was acquired by private equity firms Clayton, Dubilier & Rice (CD&R) and KKL in a deal valued at approximately $5.3 billion, taking the company private after being publicly traded since 2017. Today, Cloudera operates as a private company under CD&R and KKL ownership, continuing to serve enterprise customers with its Cloudera Data Platform (CDP), which enables organizations to manage, analyze, and derive insights from data across hybrid and multi-cloud environments. The platform supports data engineering, data warehousing, machine learning, and analytics workloads at scale. While Cloudera is not primarily an AdTech company, its data platform is utilized by various industries including advertising and marketing technology companies for managing large-scale data operations, customer data platforms (CDPs), audience segmentation, and analytics that power advertising decisioning and personalization. The company serves Fortune 500 enterprises and large organizations requiring robust data infrastructure for their digital operations.
Unified data platform for hybrid and multi-cloud environments supporting analytics, machine learning, and data engineering
Cloud-native data platform services for AWS, Azure, and Google Cloud
On-premises and private cloud data platform deployment
Real-time streaming data ingestion and processing
Automated data pipeline orchestration and engineering workloads
Cloud-native data warehousing for analytics
End-to-end machine learning platform for model development and deployment