Secure and enterprise-ready, Apache Hadoop distribution powers near real-time applications and analytics — on premises or in the cloud. Deploy, integrate and analyze massive volumes of structured, semi-structured and unstructured data.
Federate and query virtually any data
The highly scalable, enterprise-grade SQL for Hadoop concurrently exploits Apache Hive, HBase and Spark, using a single query or database connection that reduces latency and supports ad hoc and complex queries. Drive machine learning and advanced analytics
Create new analytic models quickly and easily in a collaborative environment. Build and train machine-learning models and prepare and analyze data in a flexible hybrid cloud environment.
Reduce IT and warehouse costs
Use commodity hardware when building your data lake to drive unlimited scalability and decrease capital expenditures. Save additional costs when using the data lake as a repository for older data that would otherwise take up capacity in a more expensive data warehouse.
Improve data-driven decisions
Federate and analyze data from more sources for deeper insights and more accurate results. Data lake governance features help ensure data is relevant and trustworthy. Coupled with real-time analytics and AI capabilities, the data lake allows your organization to seize new opportunities as they unfold.