Mobile platform company Appcelerator has acquired Nodeable, a company offering big data analytics processing for Hadoop. Once a startup buidling a “Twitter for machines” – a term used to describe its system for aggregating systems data across sources – Nodeable recently refocused its efforts this summer on StreamReduce, a cloud-hosted, real-time data analytics product.

The system uses the same architecture as its operations monitoring tool, but allowed Nodeable to expand beyond its customer base of developers and system admins. StreamReduce is based on Storm, a real-time analytics engine that was originally developed at BackType, a startup Twitter acquired last year. (Twitter allowed lead developer Nathan Marz to finish the project after buying the company and open source it, and Twitter now uses Storm internally.)

StreamReduce is Storm in the cloud, but with connectors to Apache’s Hadoop. As Nodeable CEO Dave Rosenberg explained to TechCrunch contributor Klint Finley this July, Storm is meant to complement, not replace, Hadoop. Hadoop isn’t great for processing streams of incoming data, which is where Storm and StreamReduce come in. StreamReduce can process and analyze raw data in real-time, in order to discover trends, summaries and anomalies that could increase efficiencies in data-driven businesses.

For Appcelerator, the acquisition will help the company round out its Enterprise Mobile Cloud offerings, which include real-time data processing, analytics, and enterprise data integration tools for business customers. Jeff Haynie, CEO of Appcelerator, explained that his company’s enterprise customers are in need of a a better way to analyze the large volume of data coming in through their applications.

Following the acquisition, StreamReduce will be open-sourced and posted on GitHub, under the Apache License, version 2.0.

This is the fourth acquisition for Appcelerator – it also picked up Cocoafish in January 2012, enterprise-grade IDE capabilities through Aptana in January 2011, and HTML5  expertise with Particle Code in October 2011.