mapreduce: All content tagged as mapreduce in NoSQL databases and polyglot persistence
Earlier today I’ve posted about Teradata’s take on the evolution of databases. As expected, everything is safe and under control. Now this report from Larry Dignan for ZDNet about Teradata Q4 earnings call presents Teradata’s perspective about Hadoop:
Teradata’s fourth quarter earnings were solid, but analysts peppered management with questions about Hadoop as data warehouse revenue worries persist.
Teradata CEO Mike Koehler and CFO Steve Scheppmann talked Hadoop throughout the company’s conference call. Was Hadoop taking Teradata’s business away? What’s the revenue hit? Can Teradata co-exist?
Once again everything is safe with a bright future. Until it isn’t anymore and Hadoop eats the enterprise data warehouse space. In Teradata’s defense, they’ve been one of the first companies that has looked seriously at Hadoop and came up with a coherent positioning.
Original title and link: Hadoop and Teradata’s business ( ©myNoSQL)
For Cloudera, the first vendor to offer a Hadoop distribution, the answer is an unequivocal yes. Last November, Cloudera finally exposed its true sentiments by introducing the Enterprise Data Hub in which Hadoop replaces the data warehouse, among other things, as the center of an organization’s data management strategy. In contrast, Hortonworks takes a hybrid approach, partnering with leading commercial data management and analytics vendors to create a data environment that blends the best of Hadoop and commercial software. In short, Cloudera offers revolution, Hortonworks evolution.
You know what? Both are right. To replace existing enterprise data warehouse, the first step is in cohabiting with them.
Original title and link: Does Hadoop replace or augment the enterprise data warehouse? ( ©myNoSQL)