It's good to have options. Whether you're choosing a cola, a car, or a credit card, it helps to have healthy competition in the marketplace. And if data analytics is your game, you benefit from a range of alternatives to the most well-known option, Hadoop. This week's top feature, "Spark, an alternative for fast data analytics," takes a look at one such alternative. Spark is a scalable data analytics platform that incorporates primitives for in-memory computing, so it offers performance advantages over Hadoop's cluster storage approach. Spark is implemented in and exploits the Scala language, making Spark an efficient means of processing distributed data sets. Spark and Scala are still under development, but it's already clear that they are poised to give Hadoop a run for its money.
The only downside to all this competition? It takes me 15 minutes to choose a shampoo.
Until next week,
John Swanson and the developerWorks editorial team
Our other top features on developerWorks this week:
- Safer than editing: Utilities for changing AIX configuration files (AIX and UNIX)
- Knowledge path: Architect electronic, automotive, and aerospace and defense solutions with the IBM Product and Service Framework (Industries)
- Learn Linux, 302 (Mixed environments): NetBIOS and WINS (Linux)
- Generate design work products from models: Use BIRT reports with Rational Software Architect (Rational)
- What's new in WebSphere Enterprise Service Bus V7.5 (WebSphere)
- Combine Drupal, HTML5, and microdata: Make your content easier to find and reuse (XML)