Sponsored
 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
9th
Average Rating
8.0
Number of Reviews
36
Ranking in other categories
Data Mining (3rd)
Dataiku
Ranking in Data Science Platforms
7th
Average Rating
8.2
Number of Reviews
7
Ranking in other categories
No ranking in other categories
KNIME
Ranking in Data Science Platforms
4th
Average Rating
8.0
Number of Reviews
55
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of July 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 3.0%, up from 2.3% compared to the previous year. The mindshare of Dataiku is 12.9%, up from 6.8% compared to the previous year. The mindshare of KNIME is 11.9%, up from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
Unique Categories:
Data Mining
21.6%
No other categories found
 

Featured Reviews

Nov 17, 2019
Good machine learning algorithms and statistical models, but technical support needs to be more responsive
The primary use case of this solution is for collecting business data and reporting to upper management. Also, I am creating some regulatory and ad-hoc reports Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given…
MG
Dec 4, 2019
User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow
I think the interface is very nice, but for somebody who is not as familiar with IT as I am, it may be much more difficult for them. It is nice for me because I'm familiar with this type of software that falls in the realm of the data science platform. I can see how a client who really doesn't know anything about IT or computers might try to use it and find that it would be a little difficult to access some features. That type of user may really need training in order to work with Dataiku. So, in the next release of Dataiku DSS (Data Science Studio), they should make it more friendly for everybody to use, not just IT people. For me, I find that it is a little slow during use. When I use Dataiku to run my script to transfer data, it takes more time than I would expect for the operation to complete.
AP
Aug 4, 2023
Excellent product with a unique approach, allowing for almost no-code solutions but prebuilt nodes may not always perfectly fit complex needs
One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well. However, if you encounter very complex requirements, you might need to add custom code to achieve your desired outcomes. This is an area that could use some improvement, but the advantage is that it encourages you to evaluate and minimize coding efforts. As a result, you can reduce the overall amount of coding required, which is a positive aspect of KNIME. Another area that could be improved is related to the libraries. While they are quite extensive, they might not always match your exact needs. In such cases, you might have to do some coding to tailor the solution accordingly. Therefore, one area for improvement is the flexibility of prebuilt nodes, as they may not always match complex needs perfectly. Also, enhancing clarity on what the nodes do would be beneficial. For additional features, there are a couple of things that come to mind. Firstly, it would be great to have more clarity on what each node does. Sometimes, it's not very apparent, and additional information would be helpful. Secondly, it would be beneficial to have better ways to interact with and manage nodes, enhancing the user experience. And finally, I think KNIME could improve on how easily it allows for extending functionalities with custom code. Although it's relatively straightforward now, making it even more accessible would be advantageous.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"Most of the product features are good but I particularly like the linear regression analysis."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"in terms of the simplicity, I think the SPSS basic can handle it."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"The most valuable feature is the set of visual data preparation tools."
"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."
"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."
"Data Science Studio's data science model is very useful."
"Cloud-based process run helps in not keeping the systems on while processes are running."
"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."
"The solution is quite stable."
"There are a lot of connectors available in KNIME."
"I would rate the stability of KNIME a ten out of ten."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It is a stable solution...It is a scalable solution."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"It is very fast to develop solutions."
"The tool's analytic capabilities are good."
 

Cons

"The solution needs more planning tools and capabilities."
"It could provide even more in the way of automation as there are many opportunities."
"Better documentation on how to use macros."
"I think the visualization and charting should be changed and made easier and more effective."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"This solution is not suitable for use with Big Data."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."
"There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."
"I think it would help if Data Science Studio added some more features and improved the data model."
"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."
"The ability to have charts right from the explorer would be an improvement."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"Compared to the other data tools on the market, the user interface can be improved."
"KNIME is not scalable."
"There should be better documentation and the steps should be easier."
"I would prefer to have more connectivity."
"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."
"The predefined workflows could use a bit of improvement."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
 

Pricing and Cost Advice

"It's quite expensive, but they do a special deal for universities."
"We think that IBM SPSS is expensive for this function."
"I rate the tool's pricing a five out of ten."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"More affordable training for new staff members."
"The price of IBM SPSS Statistics could improve."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
"Pricing is pretty steep. Dataiku is also not that cheap."
"It is free of cost. It is GNU licensed."
"There is a Community Edition and paid versions available."
"It's an open-source solution."
"The price for Knime is okay."
"They have different versions, but I am using the open-source one."
"KNIME offers a free version"
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"KNIME is free and open source."
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Top Industries

By visitors reading reviews
University
17%
Educational Organization
14%
Computer Software Company
9%
Financial Services Firm
8%
Financial Services Firm
18%
Educational Organization
15%
Manufacturing Company
9%
Computer Software Company
7%
Manufacturing Company
13%
Financial Services Firm
11%
Computer Software Company
9%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
What is your experience regarding pricing and costs for Dataiku Data Science Studio?
Pricing is pretty steep. Dataiku is also not that cheap. It depends on the client and how much they want to spend tow...
What needs improvement with Dataiku Data Science Studio?
The no-code/low-code aspect, where DataRobot doesn't need much coding at all. Dataiku still needs some coding, and th...
What is your primary use case for Dataiku Data Science Studio?
My current client has Dataiku. We do sentiment analysis and some small large language models right now. We use Dataik...
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
KNIME offers a free version to use. KNIME also has a server version with almost the same price as competitors.
What needs improvement with KNIME?
The graphic features of KNIME need improvement, especially when working on dashboards.
 

Comparisons

 

Also Known As

SPSS Statistics
Dataiku DSS
KNIME Analytics Platform
 

Learn More

Video not available
 

Overview

 

Sample Customers

LDB 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-TILDA
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about Dataiku vs. KNIME and other solutions. Updated: July 2024.
792,905 professionals have used our research since 2012.