Kylo has been built on eight years of global expertise involving 150 data lake projects in global banking, telecoms, retail and other industries. Kylo is currently in private beta. It will be available with an Apache open source license in Q1 2017.
Faster Time to Value with Hadoop
Organizations that need a powerful, ready to-run enterprise platform that is pre-configured and optimized specifically for Hadoop turn to the Teradata® Appliance for Hadoop. As a purpose-built, integrated hardware and software solution for data at scale, the appliance runs the latest version of HDP with the additional benefits of simplified manageability and enterprise grade reliability that comes from an engineered appliance, all backed by world class customer support from Teradata. By minimizing the number of moving parts required for deployment and operations, the appliance allows companies to achieve faster time to value by just plugging the appliance into existing infrastructure, thereby leveraging your current investments in technology and resources.
The World’s Most Powerful Database
The market-leading platform for delivering strategic and operational analytics throughout your organization so users access a single source of consistent, centralized, integrated data is available with the Teradata Database. Teradata's approach to integrated data drives the highest business value through cross-functional analysis. Learn more about the Teradata Database and Integrated Data Warehouse.
Integrated Big Data Analytics
Organizations attain unmatched competitive advantage and drive pervasive adoption of big data analytics using Aster Analytics on Hadoop. The platform features Teradata Aster SQL-GR™ analytic engine, a native graph processing engine for graph analysis across big data sets, SQL and SQL-MapReduce® analytic engines that enable a variety of analytics like SQL analysis, path/pattern analysis, statistical analysis and text analysis. Learn more about Teradata Aster Big Data Analytics.
Aster Analytics on Hadoop offers more than 100 prebuilt, fully parallel analytic functions that are callable via SQL or R, popular languages for business analytics. The prebuilt functions eliminate the need for organizations to create or install their own, which accelerates time to value. Since these functions are accessible by SQL, analysts can easily combine different analytics into a single work stream.
Aster Analytics on Hadoop runs in existing Hortonworks Enterprise Hadoop clusters, so there’s no additional footprint. Aster processing engines are easily provisioned and managed by YARN, allowing users to virtualize multiple instances of Aster Analytics within a single Hadoop cluster to support analytics for different departments, data science labs and projects. The solution can easily access data in the Hadoop Distributed File System (HDFS) so users can explore, discover and analyze data where it resides. No data movement across systems is required. In addition, no data creation in an Aster format is needed. Users also have the unique capability to provision an exploration and development sandbox or production system in Hadoop. Once the model is complete, it can be deployed into a production instance in the same Hadoop cluster, accessing the same data.
A Powerful SQL Engine for Hadoop and Beyond
Originally developed by Facebook, Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto’s pure memory-based architecture is built for speed, allowing Presto to support large numbers of concurrent interactive queries against huge data sets. Building upon the Presto query engine developed and open sourced by Facebook, Teradata has made a multiyear commitment to contribute to Presto’s open source development and provide commercial support designed to increase adoption of this free, 100% open source software. Learn more about Presto or download Presto now.