Data lakes are next-generation hybrid data management solutions that can meet big data challenges and drive new levels of real-time analytics. Their highly scalable environment supports extremely large data volumes, accepting data in its native format from a variety of data sources. As a compliment to your data warehouse, they provide the framework for machine learning and real-time advanced analytics in a collaborative environment.
IBM, in partnership with Cloudera, offers enterprise-grade products and services to help you build a data lake and then manage, govern, access and explore big data. These solutions combine cost-effective, enterprise-grade open source technology with real-time analytic capabilities. Tap into the tremendous potential of previously unanalyzed data and make smarter, more agile, data-driven decisions.
IBM Db2 Big SQL
A hybrid SQL on Hadoop engine delivering advanced security-rich data query for the enterprise
IBM Big Replicate
Enable consistent, accessible and highly available data across any on-premises or hybrid cloud environment, even for SQL and NoSQL databases.
IBM Watson Studio
Simplify and scale data science to predict and optimize your business outcomes
Hortonworks Data Platform
An open-architecture platform to manage big data in motion and at rest
Cloudera Data Flow
Manage your data from edge to enterprise with a no-code approach to easily developing streaming applications.
Cloudera Enterprise Data Hub
Use a modern enterprise-grade platform, optimized for cloud to support machine learning and analytics.