R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results

Tags: Data Mining Software, Data Science Platform, Poll, Python, Python vs R, R, RapidMiner, SQL

R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science platform. Big Data tools used by almost 40%, and Deep Learning usage doubles.

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By Gregory Piatetsky, KDnuggets.

Full Results and 3-year trends

The following table shows the poll results in detail, excluding Deep Learning tools for which 3 year results are not available.

% alone is the percent of tool voters used only that tool alone, shown only for tools that have 5% or such votes. For example, 11.4% of RapidMiner users have used only Rapidminer.

What Analytics, Big Data, Data mining, Data Science software you used in the past 12 months for a real project? [2895 voters]
Legend: red: Free/Open Source tools green: Commercial tools Fuchsia: Hadoop/Big Data tools	% users in 2016 % users in 2015 % users in 2014
R (1419)	49.0% 46.9% 38.5%
Python (1325)	45.8% 30.3% 19.5%
SQL (1029)	35.5% 30.9% 25.3%
Excel (972)	33.6% 22.9% 25.8%
RapidMiner (944), 11.7 % alone	32.6% 31.5% 44.2%
Hadoop (641)	22.1% 18.4% 12.7%
Spark (624)	21.6% 11.3% 2.6%
Tableau (536)	18.5% 12.4% 9.1%
KNIME (521)	18.0% 20.0% 15.0%
scikit-learn (497)	17.2% 8.3% na
Java (487)	16.8% 14.1% na
Anaconda (462)	16.0% na na
Hive (359)	12.4% 10.2% na
MLlib (337)	11.6% 3.3% 1.0%
Weka (315)	10.9% 11.2% 17.0%
Microsoft SQL Server (314)	10.8% 9.7% 10.5%
Unix shell/awk/gawk (301)	10.4% 8.0% 5.8%
MATLAB (263)	9.1% 8.8% 8.4%
IBM SPSS Statistics (242)	8.4% 7.7% 7.7%
Dataiku (227), 18.1 % alone	7.8% 2.0% na
SAS base (225)	7.8% 11.3% 10.9%
IBM SPSS Modeler (222)	7.7% 7.1% 5.7%
SQL on Hadoop tools (211)	7.3% 7.2% na
C/C++ (210)	7.3% 9.4% na
Other free analytics/data mining tools (198)	6.8% 5.0% 5.1%
Other programming and data languages (197)	6.8% 5.1% 3.0%
H2O (193)	6.7% 2.0% 0.2%
Scala (180)	6.2% 3.5% na
SAS Enterprise Miner (162)	5.6% 10.9% 7.2%
Microsoft Power BI (161)	5.6% 3.6% na
HBase (158)	5.5% 4.6% na
QlikView (153)	5.3% 4.2% 3.0%
Microsoft Azure Machine Learning (147)	5.1% 3.7% na
Other Hadoop/HDFS-based tools (141)	4.9% 4.5% 3.9%
Apache Pig (132)	4.6% 5.4% 3.5%
IBM Watson (121)	4.2% 2.1% na
Rattle (103)	3.6% 4.2% 4.9%
Salford SPM/CART/Random Forests/MARS/TreeNet (100), 63.0 % alone	3.5% 2.3% 3.6%
Gnu Octave (89)	3.1% 2.3% 3.9%
Orange (89)	3.1% 1.9% 3.4%
Alteryx (87)	3.0% 5.6% 3.1%
RapidInsight/Veera (87), 51.7 % alone	3.0% 0.2% 0.5%
TIBCO Spotfire (80)	2.8% 4.3% 2.8%
Apache Mahout (74)	2.6% 2.8% 2.5%
Other paid analytics/data mining/data science software (71)	2.5% 2.4% 1.9%
Dato (69)	2.4% 0.5% 0.9%
Pentaho (68)	2.3% 2.7% 2.6%
Perl (67)	2.3% 2.9% 3.0%
IBM Cognos (64)	2.2% 1.8% 1.8%
Splunk/ Hunk (63)	2.2% 1.1% 0.7%
JMP (58)	2.0% 3.1% 3.8%
C4.5/C5.0/See5 (58)	2.0% 1.3% 1.5%
Amazon Machine Learning (55)	1.9% 0.7% na
Mathematica (53)	1.8% 1.9% 2.3%
Microsoft other ML/Data Science tools (46)	1.6% na na
Vowpal Wabbit (45)	1.6% 1.3% na
Microstrategy (45)	1.6% 0.9% na
SAP Analytics (42)	1.5% 3.0% 6.8%
Stata (39)	1.3% 1.3% 1.4%
Dell/StatSoft (36), 8.3 % alone	1.2% 1.7% 1.7%
XLMiner (35)	1.2% na na
SAP HANA (35)	1.2% na na
Julia (32)	1.1% 1.1% 0.8%
Oracle Adv. Analytics (31)	1.1% 0.8% 2.2%
BigML (25), 16.0 % alone	0.9% 0.8% 0.9%
Zementis (25)	0.9% 0.8% 0.8%
BayesiaLab (18)	0.6% 0.6% 4.1%
Alpine Data Labs (16), 12.5 % alone	0.6% 0.5% 2.7%
DataRobot (15), 6.7 % alone	0.5% na na
Datameer (13), 7.7 % alone	0.4% 0.9% 0.8%
Lavastorm (12)	0.4% 0.4% 0.3%
F# (11)	0.4% 0.7% 0.5%
Clojure (11)	0.4% 0.5% 0.5%
Actian (10)	0.3% 2.0% 0.5%
WordStat (10)	0.3% 0.3% 0.2%
Ayasdi (9)	0.3% 2.0% na
Skytree (8)	0.3% 0.1% na
Lisp (7)	0.2% 0.4% 0.3%
Ontotext GraphDB (6)	0.2% 0.0% na
SiSense (5)	0.2% 0.2% 0.1%
Birst (5)	0.2% 0.1% na
FICO Model Builder (5)	0.2% 0.0% 0.2%
WPS World Programming System (4)	0.1% 0.3% 0.2%
Angoss (3)	0.1% 0.4% 0.4%
Predixion Software (2)	0.1% 0.4% 3.7%