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.
At a Glance
- Large enterprises
- Financial services and banking
- Telecommunications
- Government and public sector
- +5 more
AI Tools by Cloudera
(1)Cloudera AI
Enterprise Hybrid AI Development Platform
Discussions
No discussions yet
Be the first to start a discussion about Cloudera
Latest News
Launched Cloudera Blueprints, bringing NVIDIA Agent Toolkit to enterprise data anywhere.
Expanded the Enterprise AI Ecosystem to power AI factories anywhere, including Neo4j and Cartesia alongside Mistral and VAST Data partnerships.
Partnered with Mistral to bring specialized, sovereign intelligence to enterprise data.
Teamed with NVIDIA to lower cloud compute spend and accelerate Apache Spark pipelines.
Products & Services
Hybrid and multi-cloud data platform for data engineering, warehousing, analytics, machine learning, governance, and security across cloud, on-premises, and edge environments.
Secure, governed enterprise AI environment supporting data exploration, data science, model training, fine-tuning, and application development.
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.
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
Christophe Bisciglia
Former Google engineer and one of Cloudera's original founders.
Amr Awadallah
Technology entrepreneur and former Yahoo! engineer; Cloudera co-founder and early technology leader.
Jeff Hammerbacher
Former Facebook data scientist who helped establish Facebook's data infrastructure; Cloudera co-founder.
Mike Olson
Former CEO/co-founder of Sleepycat Software and a Berkeley database executive; Cloudera co-founder and early CEO.
Owen O'Malley
Former Yahoo! engineer and Hadoop contributor; Cloudera co-founder.
Executive Team
Charles Sansbury
Chief Executive Officer
Joined as CEO in August 2023; previously President and CEO of ASG Technologies.
Abhas Ricky
Chief Business Officer and GM, Applied AI
Cloudera business and applied-AI executive focused on enterprise AI outcomes.
Board of Directors
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 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
Functions start at $0.10 per billable invocation, with volume discounts.
CCU prices are estimates and exclude infrastructure, networking, and related cloud-provider costs.
Annual subscription with Business Support; includes Cloudera AI Workbench, AI Inference, Data Engineering, Data Warehouse, Iceberg, and traditional data clusters.
Target Markets
- Large enterprises
- Financial services and banking
- Telecommunications
- Government and public sector
- Healthcare and life sciences
- Manufacturing
- 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
- United Overseas Bank
- Amdocs
- Halifax International Airport Authority
- Mercy Corps