Forrester Wave: Big Data Predictive Analytics Solutions, Q1 2013
Forrester Wave evaluates Big Data Predictive Analytics solutions from Angoss Software, IBM, KXEN, Oracle, Revolution Analytics, Salford Systems, SAP, SAS, StatSoft, and Tibco Software and names SAS and IBM as leaders.
Forrester Research has published a big report evaluating Big Data Predictive Analytics Solutions for Q1 2013. The report, written by Mike Gualtieri with Stephen Powers and Vivian Brown, used 51 criteria to evaluate solutions from 10 companies: Angoss Software, IBM, KXEN, Oracle, Revolution Analytics, Salford Systems, SAP, SAS, StatSoft, and Tibco Software.
Forrester ranks SAS and IBM as strong leaders, and puts SAP, a newcomer to Predictive Analytics, in the third place.
SAS Enterprise Miner tool is praised as easy to learn and able to run analysis in-database or on distributed clusters to handle big data.
IBM's Smarter Planet campaign and acquisitions of SPSS, Netezza, and Vivisimo represent its commitment to big data predictive analytics.
SAP is a newcomer to big data predictive analytics but is a Leader due to a strong architecture and strategy, and its SAP HANA in-memory appliance.
Tibco, Oracle, StatSoft, and KXEN are Strong Performers with unique approaches. Tibco's Spotfire advanced data visualization tool offers core support for S+ and R, which makes it attractive to data scientists who know those languages.
Oracle's solution centers on offering in-database R and the strength of its in-database analytics technology.
StatSoft has a comprehensive number of analysis algorithms and is very strong in manufacturing use cases.
KXEN collapses the normal predictive analytics life cycle by automating the predictive model discovery process; it also offers strong social network analysis.
Angoss, Revolution Analytics, and Salford Systems are Contenders with a narrower focus.
Angoss offers the best tooling for decision trees and offers cloud solutions that firms can use to improve results quickly.
Revolution Analytics aims to be the de facto commercial provider of solutions based on the very popular open source statistics programming language R.
Salford Systems claims superior implementations of analysis algorithms including CART, MARS, TreeNet, and random forests.
Also, the full report is available from Forrester here.