Cloudera Government Solutions
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
Products
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.
Services
Consulting and implementation services for platform architecture, deployment, migration to hybrid/multi-cloud, integration with existing environments and domain-specific pipeline development.
Instructor-led and self-paced training plus certification programs to upskill teams on platform operations, data engineering, streaming, data science and MLOps.
Subscription-based technical support, managed services and support portal access to maintain platform availability, meet operational SLAs and assist with lifecycle management.
Advisory and implementation services to configure platform controls, audit trails and documentation to support security and compliance certifications and privacy/consent management workflows.
Implementation and optimization of domain-specific analytics pipelines and compute environments, including genomics and clinical analytics, and performance tuning for compute-intensive workloads.
Consulting and implementation services for platform architecture, deployment, migration to hybrid/multi-cloud, integration with existing environments and domain-specific pipeline development.
Instructor-led and self-paced training plus certification programs to upskill teams on platform operations, data engineering, streaming, data science and MLOps.
Subscription-based technical support, managed services and support portal access to maintain platform availability, meet operational SLAs and assist with lifecycle management.
Advisory and implementation services to configure platform controls, audit trails and documentation to support security and compliance certifications and privacy/consent management workflows.
Implementation and optimization of domain-specific analytics pipelines and compute environments, including genomics and clinical analytics, and performance tuning for compute-intensive 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
News & Updates
Event to learn about the latest innovations in data, analytics, and AI. Scheduled for July 16.
Cloudera executives to participate at Citi 2019 Global Technology Conference and Deutsche Bank Technology Conference 2019.
Cloudera announced it will report its second quarter fiscal year 2020 financial results on September 4, 2019, after the close of market, and host a conference call to discuss the results.
Cloudera announced it will report its third quarter fiscal year 2020 financial results on December 5, 2019, after the close of market, and host a conference call to discuss the results.
A global research report with Harvard Business Review Analytic Services reveals that most organizations recognize the need for a comprehensive data strategy, but few believe their current capabilities are sufficient.
Cloudera and Hortonworks were named Leaders by Forrester Research in The Forrester Wave™: Cloud Hadoop and Spark (HARK) Platforms, Q1 2019.
Event to learn about the latest innovations in data, analytics, and AI. Scheduled for July 16.
Cloudera executives to participate at Citi 2019 Global Technology Conference and Deutsche Bank Technology Conference 2019.
Cloudera announced it will report its second quarter fiscal year 2020 financial results on September 4, 2019, after the close of market, and host a conference call to discuss the results.
Cloudera announced it will report its third quarter fiscal year 2020 financial results on December 5, 2019, after the close of market, and host a conference call to discuss the results.
A global research report with Harvard Business Review Analytic Services reveals that most organizations recognize the need for a comprehensive data strategy, but few believe their current capabilities are sufficient.
Cloudera and Hortonworks were named Leaders by Forrester Research in The Forrester Wave™: Cloud Hadoop and Spark (HARK) Platforms, Q1 2019.