IBM SPSS Statistics vs KNIME

IBM SPSS Statistics is ranked 4th in Data Mining with 4 reviews vs KNIME which is ranked 2nd in Data Mining with 10 reviews. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". The top reviewer of KNIME writes "Our average record size was around 10 million records. If we have bigger data, we can opt for a Big Data extension for Hadoop, Spark, etc". IBM SPSS Statistics is most compared with IBM SPSS Modeler, SAS Enterprise Miner and KNIME. KNIME is most compared with Weka, RapidMiner and IBM SPSS Modeler. See our IBM SPSS Statistics vs KNIME report.
Cancel
You must select at least 2 products to compare!
+Add products to compare
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs KNIME and others in Data Mining.
287,901 professionals have used our research since 2012.

Quotes From Members Comparing IBM SPSS Statistics vs KNIME

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.Custom tables and macros: They allow us to create useful reports quickly for a broad audience.in terms of the simplicity, I think the SPSS basic can handle it.

Read more »

It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.Clear view of the data at every step of ETL process enables changing the flow as needed.We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.Easy to connect with every database: We use queries from SQL, Redshift, Oracle.We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server.

Read more »

Cons
Needs more statistical modelling functions.Better documentation on how to use macros.Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement.

Read more »

They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning.The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.​The data visualization part is the area most in need of improvement.The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.Data visualization needs improvement.I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports.

Read more »

Pricing and Cost Advice
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

Read more »

KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.It is free of cost. It is GNU licensed.

Read more »

report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
287,901 professionals have used our research since 2012.
Ranking
RANKING
Views
5,028
Comparisons
3,720
Reviews
4
Followers
341
Avg. Rating
6.8
Views
12,037
Comparisons
8,301
Reviews
9
Followers
406
Avg. Rating
8.4
Top Comparisons
Top Comparisons
Compared 5% of the time.
See more IBM SPSS Statistics competitors »
Compared 29% of the time.
Compared 17% of the time.
Compared 13% of the time.
See more KNIME competitors »
Also Known As
Also Known AsSPSS StatisticsKNIME Analytics Platform
Website/Video
Website/VideoIBM
Knime
Overview
OverviewYour organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.
OFFER
Learn more about IBM SPSS Statistics
Learn more about KNIME
Sample Customers
Sample CustomersLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDAInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
18%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
VISITORS READING REVIEWS
Comms Service Provider
21%
Financial Services Firm
17%
University
17%
Marketing Services Firm
7%
Company Size
Company Size
No Data Available
REVIEWERS
Small Business
22%
Midsize Enterprise
33%
Large Enterprise
44%
VISITORS READING REVIEWS
Small Business
14%
Midsize Enterprise
15%
Large Enterprise
72%
Find out what your peers are saying about IBM SPSS Statistics vs KNIME and others in Data Mining.
Download now
287,901 professionals have used our research since 2012.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

Sign Up with Email