
CloudQuant Data Liberator
Accelerate data insights by transforming trapped proprietary datasets into scalable, actionable data streams.

The hybrid data cloud for the complete data lifecycle and Enterprise AI.

Cloudera Data Platform (CDP) is a comprehensive hybrid data cloud architecture designed for the 2026 enterprise landscape, where data resides across multi-cloud and on-premises environments. Built on an open-source core (Hadoop/Spark/Flink) and optimized with Apache Iceberg as the open table format, CDP enables a true 'Open Data Lakehouse.' Its primary technical differentiator is the Shared Data Experience (SDX), a unified security and governance layer that ensures consistent data privacy and compliance across all workloads. As of 2026, CDP has pivoted heavily toward 'Enterprise AI,' providing 'AI Accelerators' and containerized machine learning workspaces (CML) that allow organizations to build, deploy, and monitor LLMs and generative AI applications securely. The platform manages the entire lifecycle from real-time data ingestion via Apache NiFi to advanced analytics and long-term cold storage using Apache Ozone. It is positioned as the high-scale alternative to Snowflake and Databricks for organizations requiring strict data sovereignty and hybrid flexibility.
Cloudera Data Platform (CDP) is a comprehensive hybrid data cloud architecture designed for the 2026 enterprise landscape, where data resides across multi-cloud and on-premises environments.
Explore all tools that specialize in data governance. This domain focus ensures Cloudera Data Platform (CDP) delivers optimized results for this specific requirement.
Centralized security and governance for all data across the platform using Apache Ranger and Atlas.
Native support for the Iceberg table format for high-performance ACID transactions on object stores.
Containerized ML platform supporting R, Python, and Scala with integrated LLM blueprints.
A cloud-native NiFi-based streaming service for edge-to-cloud data ingestion.
Automated data and metadata movement between different CDP clusters (Public or Private).
Scalable, redundant, and distributed object store optimized for Hadoop workloads.
The ability to scale compute clusters up or down without disrupting running queries.
Choose deployment model (Public Cloud, Private Cloud, or Hybrid).
Register cloud environment credentials (AWS/Azure/GCP) within the CDP Management Console.
Configure Virtual Private Cloud (VPC) and network peering for secure data movement.
Provision a 'Data Lake' instance which serves as the central storage and metadata hub.
Setup User Management and Identity Broker (IDBroker) to sync with AD/LDAP.
Define security policies in Apache Ranger via the SDX interface.
Launch a Cloudera Data Engineering (CDE) virtual cluster for Spark-based processing.
Deploy a Cloudera Data Warehouse (CDW) for SQL-based BI analytics.
Initialize Cloudera Machine Learning (CML) workspaces for data science teams.
Implement data replication policies using the Replication Manager for hybrid disaster recovery.
All Set
Ready to go
Verified feedback from other users.
"Users praise the robust governance and hybrid flexibility but note the steep learning curve and complex initial configuration."
Post questions, share tips, and help other users.

Accelerate data insights by transforming trapped proprietary datasets into scalable, actionable data streams.

Real-time streaming data pipelines that enhance real-time decision-making and mitigate risks.

The DataHub metadata platform gives context for AI to safely manage and use data.

AI-powered cloud data management solution for the entire data lifecycle.

Unify all your data, analytics and AI workloads with one simple platform.
A portfolio of AI products accelerating the impact of generative AI in core workflows to drive productivity.