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Cloudera Analytic DB

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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Pricing from
Pay-as-you-go
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User industry
  1. Energy and utilities
  2. Retail and wholesale
  3. Information technology and software

What is Cloudera Analytic DB

Cloudera Analytic DB is an MPP SQL analytic database service in the Cloudera Data Platform, designed for interactive analytics and BI workloads on large datasets. It targets data engineers and analytics teams that need SQL access with elastic scaling and separation of compute and storage in cloud environments. The service is commonly deployed alongside a data lake and other CDP services, with integrations for common BI tools and JDBC/ODBC connectivity.

pros

MPP SQL for analytics

The product is built for distributed, parallel SQL execution across multiple nodes, which fits large-scale analytic queries and concurrent BI usage. It supports common SQL access patterns used by reporting tools and analysts. This positions it as an analytics-oriented relational engine rather than an OLTP-first database.

Elastic compute scaling

Cloudera Analytic DB supports scaling compute resources to match workload demand, which helps teams manage variable query volumes. The architecture emphasizes separating compute from underlying storage, enabling multiple workloads to share the same data. This can simplify capacity planning compared with fixed-size database deployments.

Fits CDP data platform

It integrates with Cloudera Data Platform services for security, governance, and data access patterns used in lakehouse-style environments. Centralized identity, policy enforcement, and metadata management can reduce duplicated administration across tools. Organizations already standardized on CDP can operationalize analytics with fewer separate systems.

cons

Not optimized for OLTP

The service is primarily oriented to analytic SQL workloads rather than high-throughput transactional processing. Applications requiring low-latency single-row reads/writes and strict OLTP patterns may not be a good fit. Teams may still need a separate transactional database for application backends.

Platform dependency and complexity

Cloudera Analytic DB is typically consumed as part of the broader Cloudera Data Platform, which can add architectural and operational complexity. Successful deployments often require skills in distributed data platforms, security configuration, and workload management. This can increase time-to-value compared with simpler managed relational services.

Cloud and cost governance required

Elastic scaling and distributed execution can lead to unpredictable spend if workload controls and monitoring are not well configured. Query concurrency, data layout, and resource sizing decisions materially affect performance and cost. Organizations may need additional governance processes to manage usage across teams.

Plan & Pricing

Pricing model: Pay-as-you-go (hourly), billed per Cloudera Compute Unit (CCU). Free tier/trial: 5-day cloud trial (Cloudera Public Cloud trial). On-prem: 60-day CDP Private Cloud Base trial available (requires activation/contact). Example costs: Data Warehouse (formerly Cloudera Analytic DB) – $0.07 per CCU/hour (listed on Cloudera pricing page). Notes & discounts: Prices shown are estimates and may vary by instance type; infrastructure/cloud provider costs are additional. On-premises or enterprise subscriptions often require contacting sales for pricing or annual subscriptions. See instance rate tables for CCU-to-instance mappings and detailed per-instance rates.

Seller details

Cloudera, Inc.
Santa Clara, CA, USA
2008
Private
https://www.cloudera.com/
https://x.com/cloudera
https://www.linkedin.com/company/cloudera/

Tools by Cloudera, Inc.

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Cloudera Data Flow
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Cloudera Data Platform
Cloudera Analytic DB
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Cloudera Operational DB
Datacoral Data Infrastructure as a Service
Cloudera Data Engineering

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