How does my organization more efficiently and effectively analyze data in my Hadoop cluster environment? HPE Vertica SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in the big data analytics marketplace and opened up our platform to use the full power of the Hadoop cluster. By offering an open, fast and enterprise-ready implementation of SQL on Hadoop, users can perform analytics regardless of the format of data or Hadoop distribution used.
Click here for more details on how HPE Vertica SQL on Hadoop handles your mission-critical analytics projects by merging the best of our analytics platform with the best that Hadoop can offer.
HPE and Hortonworks deliver an innovative approach to Big Data and modern data management challenges. If you are looking for a 100% open source platform for storing, processing, analyzing and transporting large volumes of data, Hortonworks Data Platform handles data from many sources and formats in a quick, easy, cost-effective manner. It delivers a stable and highly extensible platform, making it easier to integrate Apache™ Hadoop® with your existing data architectures and increases the value of the data organization.
Are you experiencing a challenge quickly obtaining and securely acquiring data insights for business analysis with clear traceability? Edge to Core Analytics is the solution for you.
Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. Use Hortonworks DataFlow QuickSpecs for current SKU numbers.
DataFlow addresses the key challenges enterprises face with data-in-motion:
- Processing real-time data streaming at high volume and high scale
- Tracking data provenance and lineage of streaming data
- Managing and monitoring edge applications and streaming sources