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Brief
Cloudera was acquired by KKR & CD&R (private equity ownership).
Cloudera

Cloudera

Data Management & Analyticscloudera.com

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 23, 2026 by ATDb automated enrichment · Connections updated Jul 14, 2026

Founded
2008
HQ
Santa Clara, California, United States
Connections
24

At a glance

Employees
1001-5000
Funding
$5.3B (take-private buyout by KKR and CD&R, 2021)
Revenue
$700M–$1B
21integrations1competitors1corporate family

About

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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.

Key features

Hybrid and multi-cloud data platformUnified security and governance via SDXOpen-source Apache ecosystem foundation (Hadoop, Spark, Hive, Kafka, NiFi)Auto-scaling cloud-native data servicesEnd-to-end ML lifecycle managementReal-time data streaming and ingestionData lineage and catalogingRole-based access control and data maskingMulti-function analytics on a single platform

Use cases

Enterprise data lakehouse and data lake managementLarge-scale ETL and data pipeline orchestrationCloud-native SQL analytics and business intelligenceMachine learning model development and deploymentReal-time streaming analytics and IoT data processingRegulatory compliance and data governanceCustomer 360 and behavioral analyticsFraud detection and risk management in financial servicesHealthcare data interoperability and analyticsTelecommunications network analytics

Customer segments

Financial services and bankingHealthcare and life sciencesTelecommunicationsRetail and e-commerceGovernment and public sectorEnergy and utilitiesManufacturingMedia and entertainment

Tech & specs

Technology stack

Apache HadoopApache SparkApache HiveApache ImpalaApache KafkaApache NiFiApache RangerApache AtlasApache OzoneKubernetesDockerPythonJavaScala

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAAFedRAMPISO 27001PCI DSSFIPS 140-2

Deployment

CloudOn-premiseHybrid

API

Yes

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