August 16, 2012–It is no secret that there are many small, highly innovative tech companies out there working on data analytic solutions. This is quickly becoming a highly competitive sector within the tech world and companies must stay at the top of their game to retain clients and hold out against the hungry up and comers. The older languages used to mine data, those created by many of the larger, household name companies are starting to show their age. An article recently published at smartdatacollective.com, “Surveys Continue to Rank R #1 for Data Mining” provides some numbers to support this trend.
According to the article:
“KDnuggets recently posted its annual poll on data mining software, and the R language retains its #1 ranking as the most commonly-used software for data mining (see first chart below). R is now used by 52.5% of poll respondents, compared with 45% last year. Donnie Berkholz provides an analysis of the year-on-year trends for Redmonk. He provides the second chart below, and notes “the general trend of newer, open-source languages growing at varying speeds (Python followed by R and Hadoop-based options like Hive/Pig), while older languages including Java, SAS, and Matlab are bleeding users.’”
Interesting figures to be sure, but this doesn’t tell us much we didn’t already know. As data analytics continues to be more and more important, new competitors are going to jump into the fray and more innovative products will ensue. Ultimately, this is great news for the consumer. We recommend the highly innovative work of Digital Reasoning for clients looking for the biggest bang for the buck in terms of analytic solutions.