Cloudera
Cloudera enables enterprises to harness the full value of their data across hybrid and multi-cloud environments with a unified, secure, and governed platform for analytics and AI — without vendor lock-in.
Last updated Jun 3, 2026 by ATDb automated enrichment · Connections updated Jun 8, 2026
- Industry
- Data Management & Analytics
- Business Model
- SaaS
- Target Market
- Enterprise
- Employee Count
- 1001-5000
- Funding
- $5.3B (take-private buyout by KKR and CD&R, 2021)
- Revenue Range
- $700M–$1B
- Parent Company
- KKR & CD&R (private equity ownership)
- API Available
- Yes
A leading hybrid cloud enterprise data platform provider, competing against cloud hyperscalers and modern data platforms like Databricks and Snowflake with a focus on open-source flexibility and hybrid deployment.
Cloudera provides an enterprise data platform that unifies data management, analytics, and AI capabilities across hybrid and multi-cloud environments. The company's flagship Cloudera Data Platform (CDP) enables organizations to collect, store, process, and analyze massive volumes of data while maintaining security, governance, and compliance. Formed from the 2019 merger of Cloudera and Hortonworks, the combined entity brought together two of the leading Apache Hadoop ecosystem companies to create a comprehensive open-source-based data platform. In 2021, Cloudera was taken private in a $5.3 billion deal by private equity firms KKR and Clayton, Dubilier & Rice (CD&R), allowing the company to accelerate product development outside of public market pressures. Cloudera's platform supports a wide range of workloads including data engineering, data warehousing, machine learning, and real-time analytics. Its open-source heritage — rooted in Apache Hadoop, Spark, Hive, and other ecosystem projects — differentiates it from proprietary cloud-native competitors, offering customers flexibility and avoiding vendor lock-in. The platform is deployed across industries such as financial services, healthcare, telecommunications, retail, and government, where large-scale data processing and strict compliance requirements are paramount. In the broader data and analytics ecosystem, Cloudera competes with cloud hyperscalers like AWS, Google Cloud, and Microsoft Azure, as well as specialized platforms like Databricks and Snowflake. Its key differentiator remains its hybrid cloud approach, which allows enterprises with complex regulatory or data sovereignty requirements to run workloads both on-premises and in the cloud. Cloudera continues to invest in AI and machine learning capabilities, positioning itself as a trusted enterprise AI platform for data-intensive industries.
Cloudera Data Platform (CDP)
Unified hybrid cloud platform for data management, analytics, and AI across public cloud, private cloud, and on-premises environments.
CDP Public Cloud
Cloud-native data services running on AWS, Azure, and Google Cloud, including data engineering, data warehousing, and machine learning workloads.
CDP Private Cloud
On-premises deployment of the Cloudera Data Platform for organizations with strict data sovereignty or compliance requirements.
Cloudera Data Engineering
Managed Apache Spark service for large-scale data pipeline development and orchestration.
Cloudera Data Warehouse
Cloud-native, auto-scaling data warehouse service built on Apache Hive and Impala for SQL analytics.
Cloudera Machine Learning (CML)
End-to-end machine learning platform for building, training, and deploying ML models at enterprise scale.
Cloudera DataFlow (CDF)
Real-time data streaming and ingestion platform powered by Apache NiFi and Apache Kafka.
Cloudera Data Catalog
Metadata management and data discovery tool for enterprise-wide data governance and lineage tracking.
Cloudera SDX (Shared Data Experience)
Centralized security and governance layer providing consistent policies across all CDP services.
- 2008Founded