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With AI, Everyone is a Dev. EveryDev.ai ©
    1. Home
    2. Developers
    3. Cloudera

    Cloudera

    Cloudera is a data and AI platform company that helps large organizations bring AI to data anywhere it lives. Its platform spans public clouds, data centers, and the edge, with an emphasis on open-source technology, security, governance, and real-time analytics.

    Visit Website

    At a Glance

    1Tool Listed
    12Products
    9Capabilities
    Discussions
    Santa Clara, CaliforniaHeadquarters
    2008Est.
    3.9KEmployees
    $1BRaised
    Focus Areas
    Agent Frameworks
    AI Infrastructure
    Model Management
    Latest News
    Launched Cloudera Blueprints, bringing NVIDIA Agent Toolkit to enterprise data anywhere.Oct 27, 2026
    Expanded the Enterprise AI Ecosystem to power AI factories anywhere, including Neo4j and Cartesia alongside Mistral and VAST Data partnerships.Oct 27, 2026
    Markets
    • Large enterprises
    • Financial services and banking
    • Telecommunications
    • Government and public sector
    • +5 more

    AI Tools by Cloudera

    (1)
    View Cloudera AI
    Cloudera AI tool icon

    Cloudera AI

    Enterprise Hybrid AI Development Platform

    AI InfrastructureModel ManagementAgent Frameworks

    Discussions

    No discussions yet

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    Latest News

    10/27/2026

    Launched Cloudera Blueprints, bringing NVIDIA Agent Toolkit to enterprise data anywhere.

    cloudera.com
    10/27/2026

    Expanded the Enterprise AI Ecosystem to power AI factories anywhere, including Neo4j and Cartesia alongside Mistral and VAST Data partnerships.

    cloudera.com
    09/10/2026

    Partnered with Mistral to bring specialized, sovereign intelligence to enterprise data.

    cloudera.com
    08/20/2026

    Teamed with NVIDIA to lower cloud compute spend and accelerate Apache Spark pipelines.

    cloudera.com

    Products & Services

    12
    Cloudera Platform / Cloudera Data Platform (CDP)

    Hybrid and multi-cloud data platform for data engineering, warehousing, analytics, machine learning, governance, and security across cloud, on-premises, and edge environments.

    Cloudera AI (formerly Cloudera Machine Learning)

    Secure, governed enterprise AI environment supporting data exploration, data science, model training, fine-tuning, and application development.

    AI Workbench

    Integrated no-code and full-code workspace for building AI applications and agents, with hosted notebooks/local-editor support and governed data and compute access.

    AI Studios

    Low-code/full-code environment for private generative-AI applications and agentic workflows.

    Market Position

    Cloudera positions itself as an open, governed hybrid-cloud and multi-cloud alternative to cloud-native data platforms, differentiated by deployment across public cloud, data centers, and the edge; Apache ecosystem integration; and unified security and governance. Commonly cited competitors include Databricks, Snowflake, Microsoft Fabric, and Palantir Foundry.

    Leadership

    Founders

    CB

    Christophe Bisciglia

    Former Google engineer and one of Cloudera's original founders.

    AA

    Amr Awadallah

    Technology entrepreneur and former Yahoo! engineer; Cloudera co-founder and early technology leader.

    JH

    Jeff Hammerbacher

    Former Facebook data scientist who helped establish Facebook's data infrastructure; Cloudera co-founder.

    MO

    Mike Olson

    Former CEO/co-founder of Sleepycat Software and a Berkeley database executive; Cloudera co-founder and early CEO.

    OO

    Owen O'Malley

    Former Yahoo! engineer and Hadoop contributor; Cloudera co-founder.

    Executive Team

    CS

    Charles Sansbury

    Chief Executive Officer

    Joined as CEO in August 2023; previously President and CEO of ASG Technologies.

    AR

    Abhas Ricky

    Chief Business Officer and GM, Applied AI

    Cloudera business and applied-AI executive focused on enterprise AI outcomes.

    Board of Directors

    JH
    Jeff Hawn
    Chairman of the Board and Partner, Clayton, Dubilier & Rice
    CS
    Charles Sansbury
    Chief Executive Officer and board member

    Founding Story

    Cloudera was started in 2008 by Hadoop and large-scale data practitioners to commercialize and support open-source big-data technology for enterprises. The initial vision was to make Hadoop-based data processing usable, manageable, and trustworthy for organizations dealing with rapidly expanding data.

    Business Model

    Revenue
    FY26 was described by Cloudera as record-breaking, with robust ARR growth; the company did not state a numeric FY26 revenue or ARR figure in the reviewed release. FY21 ARR was reported as $778 million.

    Revenue Model

    Cloud consumption and on-premises software subscriptions. Public-cloud services are metered by Cloudera Compute Units (CCUs); on-premises offerings are annual subscriptions with support, maintenance, and security updates.

    Pricing Tiers

    Cloudera on cloud – Data Flow deployments and test sessions
    $0.30/CCU

    Functions start at $0.10 per billable invocation, with volume discounts.

    Cloudera on cloud – Lakehouse Optimizer
    $0.05/CCU

    CCU prices are estimates and exclude infrastructure, networking, and related cloud-provider costs.

    Cloudera on premises
    Contact Sales

    Annual subscription with Business Support; includes Cloudera AI Workbench, AI Inference, Data Engineering, Data Warehouse, Iceberg, and traditional data clusters.

    Private company; its NYSE listing (CLDR) ended when the CD&R/KKR acquisition closed on October 8, 2021.

    Target Markets

    Industries & Segments
    • Large enterprises
    • Financial services and banking
    • Telecommunications
    • Government and public sector
    • Healthcare and life sciences
    • Manufacturing
    Use Cases
    • Enterprise AI and generative-AI applications
    • Data engineering and pipeline orchestration
    • Lakehouse analytics and data warehousing
    • Real-time streaming and event processing
    • Machine learning model development and MLOps
    • Private AI and AI inference in regulated environments
    Notable Customers
    • United Overseas Bank
    • Amdocs
    • Halifax International Airport Authority
    • Mercy Corps

    Quick Facts

    Headquarters
    Santa Clara, California, United States
    Founded
    2008
    Entity Type
    Cloudera, Inc.
    Employees
    3,886
    Total Funding
    More than $1 billion in capital raised before the 2021 acquisition; the company was acquired for approximately $5.3 billion.
    Investors
    Clayton, Dubilier & Rice (CD&R), KKR
    Office Locations
    Atlanta
    Austin

    Funding History

    Series F / strategic financing$900 million total financing, including approximately $740 million from Intel and a separate $160 million round
    March 2014
    Approximately $4.1 billion valuation
    Intel
    Google Ventures
    T. Rowe Price
    MSD Capital
    Acquisition / private equityApproximately $5.3 billion transaction value
    June 1, 2021 announced; October 8, 2021 completed
    $5.3 billion acquisition value valuation
    Clayton, Dubilier & Rice
    KKR

    History & Milestones

    September 25, 2025

    Cloudera announced Iceberg REST Catalog enhancements and launched Cloudera Lakehouse Optimizer.

    August 4, 2025

    Cloudera acquired Taikun, a Kubernetes and cloud-infrastructure management platform for hybrid and multi-cloud environments.

    August 2023

    Charles Sansbury appointed Chief Executive Officer.

    October 8, 2021

    Cloudera completed its approximately $5.3 billion acquisition by affiliates of Clayton, Dubilier & Rice and KKR and became private.

    January 2019

    Cloudera merged with Hortonworks, combining two major Apache Hadoop ecosystem companies.

    Key Capabilities

    9
    Hybrid, multi-cloud, on-premises, and edge deployment
    Apache Iceberg open table format and REST Catalog interoperability
    Apache Spark, Hive, Impala, HBase, Phoenix, Kafka, Flink, and NiFi support
    Enterprise security, fine-grained governance, lineage, auditing, and metadata management
    Data engineering, data warehousing, streaming, operational database, and observability
    AI/ML experimentation, training, fine-tuning, deployment, inference, and agent development

    Integrations & Partnerships

    Platform Integrations

    • AWS, Microsoft Azure, and Google Cloud
    • On-premises data centers and edge environments
    • Apache Iceberg, Spark, Hive, Impala, HBase, Phoenix, Kafka, Flink, and NiFi
    • Snowflake, Databricks, AWS Athena, AWS EMR, and Salesforce through Iceberg REST Catalog
    • NVIDIA NIM and NVIDIA-optimized LLMs
    • ServiceNow zero-copy connector
    • Cloudera AI documentation and training ecosystem

    Key Partnerships

    AWS, including the AWS European Sovereign Cloud and AWS Brazil Distribution Program
    NVIDIA, including NVIDIA NIM and Apache Spark optimization
    Mistral for sovereign intelligence

    Connect

    Website
    cloudera.com/

    AI Topics

    3

    Cloudera focuses on these topics:

    Agent Frameworks(1)
    AI Infrastructure(1)
    Model Management(1)
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