Teradata is introducing Kylo, a data lake management software platform built using the latest open source capabilities such as Apache Hadoop, Apache Spark and Apache NiFi.
With substantive experience creating business value from data lakes, Teradata is contributing Kylo to help organizations address the most common challenges they face in data lake implementation efforts. These include the central problem that data lakes simply take too long to build, and in the average 6-12 month build cycle, users find that use cases can become out of date and less relevant to quickly evolving businesses. Second, despite the lower cost of software, engineering costs quickly mount. Finally, a data lake, once created, may fail to attract users who find it difficult to explore, and so little value is realized.
“Kylo is an exciting first in open source data lake management, and perfectly represents Teradata’s vision around big data, analytics, and open source software,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer, Teradata. Teradata’s vision for the blend of commercial and open source is recognized by customers, who continue to use Teradata to unleash their potential.
“Kylo may provide an opportunity to leverage open source innovations while allowing the opportunity to give back to the open source community.” said Ka Tang, Director, Enterprise Data Architecture, Discover. “Open source software has an appeal to users seeking independence, cooperative learning, experimentation, and flexibility for customized deployments,” said Rick Farnell, President of Think Big, a Teradata company.
