Making Hadoop A Relational Database

Kevin Feasel

2018-03-27

Hadoop

Alex Woodie reports on an offering by a company named Splice Machine:

“Everybody is struggling to figure out how to expose what’s been put on the data lake to the business,” Splice Machine founder and CEO Monte Zweben told Datanami at the recent Strata Data Conference. “Our opinion is that you can take infrastructure that people understand, like relational database management systems, and run them directly on the data lake.”

That’s essentially the message that Splice has been pushing since the peak of the Hadoop frenzy in the 2013-2015 timeframe, and it’s the same message that it’s pushing today. The big difference, according to Zweben, is the maturity level. Splice Machine’s open source technology that essentially turns Hadoop into a distributed ACID-compliant relational database is now ready for primetime. Wells Fargo is arguably its biggest paying customer and production use case, but it has dozens more across financial services, healthcare and other industries.

Feasel’s Law strikes again.

Related Posts

Calculating YARN Utilization Metrics

Dmitry Tolpeko shows how you can calculate per-second cluster utilization measures from YARN’s resource manager logs: But even if you query YARN REST API every second it still can only provide a snapshot of the used YARN resources. It does not show which application allocates or releases containers, their memory and CPU capacity, in which […]

Read More

Spark Streaming DStreams

Manish Mishra explains the fundamental abstraction of Spark Streaming: Before going into details of the operations available on the DStream API, let us look at the input sources from which we can start a Stream. There are multiple ways in which we can get the inputs from e.g. Kafka, Flume, etc. Or simple Idle files. […]

Read More

Categories

March 2018
MTWTFSS
« Feb Apr »
 1234
567891011
12131415161718
19202122232425
262728293031