Start saying yes with cost-effective scale
Start saying yes to new use cases, users, and applications, without putting critical SLAs at risk. Relieve the pressure on your EDW by offloading BI, analytic, and ETL workloads to Cloudera’s analytic database, so you can do more within your existing footprint. Integrate more data faster and flexibly to power more self-service access, all with unlimited and cost-effective scalability.
Deliver on self-service analytics and take advantage of cloud
Land new and changing data, iterate quickly, and open up access to end users, while integrating with the EDW for curated reporting to deliver true self-service analytics and reporting. Tap into the additional flexibility of the cloud as part of a cohesive self-service strategy. Easily enable multi-tenant environments all over shared data for risk-free business agility and elastic cost optimizations.
Go beyond SQL with an open architecture
Bring together SQL and non-SQL workloads through Cloudera’s open architecture. Eliminate needless data copies by consolidating analytics, data science, and others on a single platform, and combine exploration and critical reporting for greater agility and faster insights. Focus your resources on better enabling next-generation use cases around machine learning and advanced analytics.
Prioritized optimization assistance
Identifying and prioritizing which workloads to offload from traditional EDWs to a modern analytic database can be a massive undertaking. Where should you begin when developing your offload strategy? Cloudera Navigator Optimizer is built to help you through the optimization process. Get immediate visibility into existing SQL workloads, create a prioritized plan based on impact analysis, offload workloads predictably, and enable peak performance on Cloudera’s platform.
Seamless productivity with partner integrations
Continue using the tools you already rely on, across your entire data warehouse landscape. Cloudera’s analytic database integrates with the leading third-party tools for data integration, preparation, visualization, reporting, and BI.