Cloudera Data Platform
Data fabric software
Machine learning data catalog software
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- Ease of management
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What is Cloudera Data Platform
Cloudera Data Platform (CDP) is an enterprise data platform for managing and analyzing data across hybrid and multi-cloud environments. It combines data engineering, data warehousing, operational analytics, and machine learning capabilities with shared governance and security services. CDP targets data platform teams that need to run Hadoop- and Spark-based workloads alongside cloud-native services while maintaining centralized controls. A key characteristic is its hybrid architecture that supports both on-premises and major public clouds with common management and governance components.
Hybrid and multi-cloud support
CDP is designed to run across on-premises infrastructure and multiple public clouds with a consistent set of platform services. This helps organizations keep certain workloads or datasets on-prem while expanding analytics and ML workloads in the cloud. It is commonly used in regulated or latency-sensitive environments where full cloud migration is not feasible. The platform approach can reduce the need to maintain separate toolchains for different deployment locations.
Integrated governance and security
CDP includes shared services for identity, access control, encryption, and policy enforcement across platform workloads. It also provides metadata and lineage capabilities through its governance components, supporting audit and compliance requirements. Centralized governance is useful when multiple teams share data assets across engineering, analytics, and ML. This integration can be advantageous compared with assembling governance controls from separate products.
Broad analytics and ML stack
CDP supports a range of workloads including batch processing, interactive SQL, streaming, and machine learning. It provides managed experiences for common open-source engines and integrates with cloud object storage and enterprise data sources. This breadth can support end-to-end pipelines from ingestion through model development and deployment. It is suited to organizations standardizing on a single platform for multiple data processing patterns.
Platform complexity and operations
CDP is a broad platform with multiple services, deployment options, and operational components. Implementations often require specialized skills in cluster operations, security configuration, and workload tuning. Organizations may need dedicated platform engineering to operate it reliably at scale. This can increase time-to-value compared with narrower, single-purpose tools.
Catalog depth varies by use case
While CDP provides metadata management and governance features, organizations with advanced enterprise catalog requirements may need to evaluate whether it meets their needs for business glossary workflows, stewardship, and cross-tool interoperability. Some catalog-centric programs require deep integrations across many third-party BI and data tools. Achieving a unified catalog experience can require additional integration work. Fit can depend on how broadly the organization expects the catalog to span beyond CDP-managed workloads.
Cost and licensing considerations
CDP is typically licensed as an enterprise platform, and total cost can include infrastructure, cloud consumption, and operational staffing. Costs can rise when running multiple environments (dev/test/prod) across hybrid deployments. Budgeting can be more complex than adopting point solutions for specific use cases. Organizations should validate pricing alignment with expected workload patterns and scaling needs.
Plan & Pricing
Pricing model: Pay-as-you-go (CDP Public Cloud hourly rates per Cloudera Compute Unit (CCU)); on-premises/Private Cloud available as annual subscriptions or contact-sales for many items.
Free tier/trial: 60-day free pilot for CDP Public Cloud; 60-day trial for CDP Private Cloud Base (see notes).
Example costs (official Cloudera pricing page and product pages):
- CDP Public Cloud (hourly rates per CCU): Data Engineering — Core $0.07/CCU/hr; All-Purpose $0.20/CCU/hr; Data Warehouse $0.07/CCU/hr; Operational Database $0.08/CCU/hr; Machine Learning (AI Workbench/ML) $0.20/CCU/hr; Data Hub $0.04/CCU/hr; Flow Management on Data Hub $0.15/CCU/hr. (Prices are estimates and may vary by instance types and cloud provider.)
- DataFlow: Deployments & Test Sessions $0.30/CCU/hr; Functions starting at $0.10 per billable invocation (with volume discounts).
- Observability (Public Cloud example): Observability Premium $0.009/CCU/hr (pricing page shows hourly public-cloud figure); Observability (Private Cloud) $80/CCU annual.
- Private Cloud / On-premises: CDP Private Cloud Plus (historical published example) — $400 per compute unit (one physical core + 8 GB RAM) per year and $25 per TB of addressed storage (annual subscription); many on-prem items are "Contact Sales" for pricing.
- Additional on-premises add-ons: Data Visualization $2,000/user annual; GPU Acceleration $7,500 per Cloudera GPU Unit (CGU) annual.
Notes & limitations:
- Pricing is per Cloudera Compute Unit (CCU) (combination of core and memory); CCU prices are estimates and do not include cloud infrastructure, networking, or other cloud-provider charges. Cloudera lists prepaid credits and monthly billing options and recommends contacting sales for enterprise/volume commitments and custom pricing. The Cloudera pricing page also lists special promotions (e.g., Lakehouse Optimizer compute $0.04/CCU and data processed free until April 26, 2026) — see official page for current promotions/terms.
Discount options: Prepaid credits, committed/volume discounts, and enterprise agreements; many on-premises items require contacting sales for negotiated pricing.
Seller details
Cloudera, Inc.
Santa Clara, CA, USA
2008
Private
https://www.cloudera.com/
https://x.com/cloudera
https://www.linkedin.com/company/cloudera/
