Cloudera introduced the Cloudera Data Warehouse — a hybrid cloud data warehouse which is claimed to be trusted by nearly 800 large enterprises to store, analyze and manage data in public clouds and on-premises.
Its hybrid, cloud-native architecture routinely handles 50 PB data workloads, delivers sub-microsecond query performance and serves clusters with hundreds of compute nodes. Cloudera Data Warehouse enables hybrid compute, storage and control – or H3 – for workload portability and optimisation across public clouds and enterprise data centers.
As per the company, customers choose Cloudera Data Warehouse as their enterprise standard for hybrid cloud and on-premises clusters due to its ability to support multiple operational and analytical use cases in mixed workload environments.
Cloudera is further expanding its hybrid cloud data warehouse offerings with the availability of Cloudera Altus Data Warehouse, data warehouse as-a-service, built with the same Cloudera Data Warehouse hybrid, cloud-native architecture. This is claimed to provide as-a-service agility, with the hybrid cloud flexibility and performance that first-generation cloud data warehouses simply weren’t designed to deliver. It’s also multi-cloud, running on both Microsoft Azure and AWS.
Unlike first-generation cloud data warehouses, Altus Data Warehouse is built to accelerate analytic experimentation and collaboration with zero-admin data sharing for data science, machine learning, and real-time analytic workloads. It helps in maintaining lineage and history for transient workloads, critical for governance and compliance. It also enables encryption at rest and in motion, with choice of key management, configured for clusters on the creation and it’s GDPR and SOC2 compliant and is undergoing SOC2 certification.
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