Cloudera, Inc.
Cloudera, Inc. is a global leader in enterprise data cloud solutions, empowering organizations to transform complex data into actionable insights. With a mission to make what is impossible today possible tomorrow, Cloudera delivers a true hybrid data, analytics, and AI platform for any data, anywhere—from the Edge to AI. The company is driven by open-source innovation and is dedicated to advancing digital transformation for the world’s largest enterprises, providing secure, governed, and scalable solutions across hybrid and multi-cloud environments. Cloudera serves a diverse range of industries, including healthcare, financial services, manufacturing, telecommunications, public sector, and more, enabling customers to tackle transformational use cases and drive value through real-time insights. Cloudera is also a vocal advocate for open standards in machine learning operations and governance, and partners with leading organizations to deliver secure, data-driven innovation worldwide.
Industries
N/A
Nr. of Employees
medium (51-250)
Patents
Ensuring properly ordered events in a distributed computing environment
2025-03-18 • US-12255978-B2
View DetailsHyperparameter tuning using visual analytics in a data science platform
2025-03-11 • US-12248888-B2
View DetailsUtilization-aware resource scheduling in a distributed computing cluster
2025-02-11 • US-12223349-B2
View Details
Ensuring properly ordered events in a distributed computing environment
2025-03-18 • US-12255978-B2
View DetailsHyperparameter tuning using visual analytics in a data science platform
2025-03-11 • US-12248888-B2
View DetailsUtilization-aware resource scheduling in a distributed computing cluster
2025-02-11 • US-12223349-B2
View DetailsProducts
Unified hybrid enterprise data platform
A unified platform that provides data engineering, lakehouse, warehousing, streaming and machine learning across on-premises, private and public cloud environments with consistent metadata, security and governance controls.
Machine learning operations (MLOps) platform
Platform for collaborative model development, model cataloging, deployment pipelines and continuous monitoring to operationalize ML with lineage, governance and drift detection.
Cloud-native data warehouse service
Self-service, autoscaling data warehouse service enabling interactive analytics at high concurrency and the ability to run queries directly on cloud object storage to avoid data duplication.
Streaming and data-in-motion platform
Platform for high-throughput streaming ingestion, low-latency processing and edge-to-core pipelines with provenance, processors and centralized flow management.
Private cloud containerized deployment
Container-based private cloud deployment model that uses enterprise container orchestration and decoupled compute-storage architecture to deliver cloud-native operations on-premises.
ML-accelerated query acceleration engine
Query acceleration layer that uses machine learning to precompute and cache common query patterns and reports to reduce response times and increase user concurrency for analytics workloads.
Unified hybrid enterprise data platform
A unified platform that provides data engineering, lakehouse, warehousing, streaming and machine learning across on-premises, private and public cloud environments with consistent metadata, security and governance controls.
Machine learning operations (MLOps) platform
Platform for collaborative model development, model cataloging, deployment pipelines and continuous monitoring to operationalize ML with lineage, governance and drift detection.
Cloud-native data warehouse service
Self-service, autoscaling data warehouse service enabling interactive analytics at high concurrency and the ability to run queries directly on cloud object storage to avoid data duplication.
Streaming and data-in-motion platform
Platform for high-throughput streaming ingestion, low-latency processing and edge-to-core pipelines with provenance, processors and centralized flow management.
Private cloud containerized deployment
Container-based private cloud deployment model that uses enterprise container orchestration and decoupled compute-storage architecture to deliver cloud-native operations on-premises.
ML-accelerated query acceleration engine
Query acceleration layer that uses machine learning to precompute and cache common query patterns and reports to reduce response times and increase user concurrency for analytics workloads.
Expertise Areas
- Hybrid and multi-cloud data architecture
- Data engineering and lakehouse design
- Cloud-native data warehousing and high-concurrency SQL analytics
- Machine learning operations (MLOps), model governance and monitoring
Key Technologies
- Kubernetes and enterprise container orchestration
- Cloud object storage and open lakehouse formats
- Infrastructure-as-code and automated deployment templates
- High-throughput event streaming and stream processing
Key People
Chairman of the Board and Partner, Clayton, Dubilier & Rice
Chief Executive Officer, Cloudera
Director, Technology Private Equity, KKR
Independent Board Member
Independent Board Member
Independent Board Member
Chairman of the Board and Partner, Clayton, Dubilier & Rice
Chief Executive Officer, Cloudera
Director, Technology Private Equity, KKR
Independent Board Member
Independent Board Member
Independent Board Member
News & Updates
Cloudera completed its merger with Hortonworks, creating an open-source powerhouse to build the industry's first Enterprise Data Cloud from the Edge to AI.
Cloudera was named a Leader by Forrester Research in The Forrester Wave™: Cloud Hadoop and Spark (HARK) Platforms, Q1 2019.
Cloudera reported significant revenue growth and customer expansion in its fiscal year 2020 financial results.
Nine partners recognized for delivering an enterprise data cloud for robust, self-service analytics.
Cloudera recognized customers who have significantly transformed their enterprise by adopting modern data architectures across hybrid and multi-cloud.
Scott Andress, VP, Global Channels and Alliances, named to CRN’s 2020 list of Channel Chiefs for leadership and innovation in the IT channel.
Cloudera completed its merger with Hortonworks, creating an open-source powerhouse to build the industry's first Enterprise Data Cloud from the Edge to AI.
Cloudera was named a Leader by Forrester Research in The Forrester Wave™: Cloud Hadoop and Spark (HARK) Platforms, Q1 2019.
Cloudera reported significant revenue growth and customer expansion in its fiscal year 2020 financial results.
Nine partners recognized for delivering an enterprise data cloud for robust, self-service analytics.
Cloudera recognized customers who have significantly transformed their enterprise by adopting modern data architectures across hybrid and multi-cloud.
Scott Andress, VP, Global Channels and Alliances, named to CRN’s 2020 list of Channel Chiefs for leadership and innovation in the IT channel.