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Poll: Current
What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? [17695 votes total]

Python (1523)
 9%
R language (1505)
 9%
SQL language (1009)
 6%
RapidMiner (947)
 5%
Excel (816)
 5%
Spark (655)
 4%
Anaconda (631)
 4%
Tensorflow (582)
 3%
Tableau (563)
 3%
scikit-learn (562)
 3%
KNIME (551)
 3%
Hadoop/Spark: Open Source Hadoop Tools (433)
 2%
Java (400)
 2%
Microsoft SQL Server (337)
 2%
SQL on Hadoop tools (299)
 2%
Microsoft Power BI (297)
 2%
Weka (281)
 2%
Unix shell/awk/gawk (278)
 2%
Keras (274)
 2%
PyCharm (262)
 1%
Dataiku (235)
 1%
Commercial Hadoop Tools (218)
 1%
MATLAB (215)
 1%
Scala (214)
 1%
SAS Base (204)
 1%
Other programming and data languages (198)
 1%
IBM SPSS Statistics (197)
 1%
Microsoft Azure Machine Learning (185)
 1%
IBM SPSS Modeler (183)
 1%
Languages: C/C++ (182)
 1%
H2O.ai (180)
 1%
Theano (168)
 1%
SAS Enterprise Miner (162)
 1%
Alteryx (153)
 1%
Other free analytics/data mining tools (139)
 1%
Other Deep Learning Tools (138)
 1%
MLlib (130)
 1%
Microsoft R Server (former Revolution Analytics) (127)
 1%
IBM Watson / Watson Analytics (125)
 1%
QlikView (122)
 1%
Orange (116)
 1%
Microsoft CNTK (99)
 1%
Deep Learning Platforms: Caffe (89)
 1%
PyTorch (88)
 0%
IBM DSX (88)
 0%
Rattle (74)
 0%
TIBCO Spotfire (72)
 0%
Gnu Octave (70)
 0%
Teradata (69)
 0%
Other paid analytics/data mining/data science software (66)
 0%
Microsoft other ML/Data Science tools (64)
 0%
DL4J (62)
 0%
IBM Cognos (61)
 0%
DataRobot (54)
 0%
JMP (53)
 0%
Pentaho (52)
 0%
Oracle Adv. Analytics (51)
 0%
mxnet (51)
 0%
Amazon Machine Learning (50)
 0%
Perl (49)
 0%
Minitab (42)
 0%
Mathematica (40)
 0%
DataScience.com (40)
 0%
C4.5/C5.0/See5 (36)
 0%
Stata (35)
 0%
SAP HANA (34)
 0%
Torch (34)
 0%
Julia (33)
 0%
MicroStrategy (32)
 0%
Vowpal Wabbit (32)
 0%
SAP BusinessObjects Predictive Analytics (32)
 0%
Angoss (29)
 0%
BigML (29)
 0%
Lasagne (27)
 0%
XLMiner (19)
 0%
Domino Data Labs (18)
 0%
F# (17)
 0%
Quest (formerly Statistica/ Dell/ StatSoft) (13)
 0%
Lisp (11)
 0%
BayesiaLab (11)
 0%
Salford SPM/CART/RF/MARS/TreeNet (11)
 0%
Clojure (8)
 0%
RapidInsight/Veera (7)
 0%
Ontotext GraphDB (6)
 0%
FICO (6)
 0%
Lavastorm (5)
 0%
Ayasdi (5)
 0%
Turi (former Dato/GraphLab) (5)
 0%
Alpine Data Labs (4)
 0%
Birst (3)
 0%
Actian (3)
 0%
Cazena (3)
 0%
Skytree (3)
 0%
Sisense (2)
 0%
Mode Analytics (2)
 0%
Kanri (0)
 0%


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Total Comments 2 | Start A New Comment
Post Info Comment
Posted By: AM

Posted On: 7 days ago
Views: 1913
Fair and Square

Unlike many other "review" sites, this is indeed a good way of seeing how a specific software/prog. language is positionned within the Data Science community. As I have witnessed for example some sites where you clearly see people giving 10/10 ratings on a tool, just to find out that they are working for that editor (doesn't make sense right?).

In my opinion, there isn't any "negative" bias as they are not asking for an opinion, or a grade or anything of that sort. The poll is simply asking if we have used a specific tool. As a matter of fact, I was redirected here from the specific RapidMiner mail from Ingo, which was totally non-directive and fine. I have simply stated the fact that I had used RapidMiner but also ended up in me specifying that I have used also others from the list like Hadoop and Qlik (for the sake of exemplifying my statements). (If you want to call that up-selling of votes go ahead ;)).

Also a number of votes is interesting - but moreover I thank Gregory for this poll because it allows us to see how the industry is evolving when we compare year-to-year polls.

Regards,


Posted By: JP

Posted On: 13 days ago
Views: 1454
Vendor requests

I also got an email from RapidMiner to complete the survey. An other comment suggests this is "a fair request", but it's only fair if all vendors do it. It doesn't help that some "vendors" literally can't do it.

As a registered voter of this survey, I would be okay with a followup survey asking who contacted me to ask to fill out the survey.

Just a note, it's not necessarily a negative thing for a company to encourage users to vote. It could simply be a reflection that are tapped into the community and they are proud of their product. Both of those are good things.


 
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