Dataiku vs IBM SPSS Modeler vs SAS Enterprise Miner comparison

Dataiku

Read 7 Dataiku reviews

8,856 Views
6,927 Comparison Views

100% willing to recommend

IBM SPSS Modeler

Read 38 IBM SPSS Modeler reviews

2,886 Views
2,275 Comparison Views

85% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,014 Views
831 Comparison Views

93% willing to recommend

Dataiku

IBM SPSS Modeler

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Dataiku, IBM SPSS Modeler, and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).

Buyer's Guide

Data Science Platforms

May 2024

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Helped 787,779 peers since 2012

Mindshare comparison

As of June 2024, in the Data Science Platforms category, the mindshare of Dataiku is 9.9%, up from 6.7% compared to the previous year. The mindshare of IBM SPSS Modeler is 1.9%, down from 3.3% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.4%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

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Data Mining

17.8%

Featured Reviews

RangeshKunnavakkam

Consultant at Netsoft

May 17, 2024

Gives different aspects of modeling approaches and good for multiple teams' collaboration

I used DataRobot. Dataiku has a different kind of structure to it. It's not financially heavy like DataRobot, which caters more to financial companies, like banks. Dataiku doesn't have that yet. I think they are also working on that area. But yeah, there are some key differences between the two products. DataRobot has an additional feature with financial firms that it creates all these financial metrics when you run a time series analysis. Those things I have not seen in Dataiku. If any financial company is choosing between DataRobot and Dataiku, they will definitely go for DataRobot because it creates all these financial metrics. It creates deltas, time series, time difference fields, and things like that. So, that is an added feature that DataRobot has.

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Giovanni Cervellati

Research Manager at IDC Corporate

Jun 20, 2023

A stable product that provides fast and accurate analytics

I used SPSS Modeler for doing both predictive analytics, advanced analytics and more specifically to create and maintain machine learning predictive models I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to…

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Shilpa Prakash

Analytics Lead at Pegasus

Dec 23, 2019

Good stability, very good data analysis tool pack and excellent documentation

The solution can be used in any domain, including banking, insurance, health care, partitions, classifications, etc. It's basically a complete solution, that helps with data client consolidation It's a VSL service provider, so improvement to an organization depends on how the client designs the…

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Quotes from Members

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

Pros

"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."

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

"The solution is quite stable."

"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."

"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."

"Cloud-based process run helps in not keeping the systems on while processes are running."

"The most valuable feature is the set of visual data preparation tools."

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."

"It is a great product for running statistical analysis."

"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."

"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

"It is pretty scalable."

More IBM SPSS Modeler pros

"Good data management and analytics."

"The technical support is very good."

"The solution is able to handle quite large amounts of data beautifully."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"The solution is very good for data mining or any mining issues."

"I like the way the product visually shows the data pipeline."

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

More SAS Enterprise Miner pros

Cons

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."

"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."

"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."

More Dataiku cons

"Requires more development."

"Unstructured data is not appropriate for SPSS Modeler."

"The forecasting could be a bit easier."

"The challenge for the very technical data scientists: It is constraining for them."

"I would like see more programming languages added, like MATLAB. That would be better."

"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."

"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

More IBM SPSS Modeler cons

"The ease of use can be improved. When you are new it seems a bit complex."

"The product must provide better integration with cloud-native technologies."

"The solution is much more complex than other options."

"The user interface of the solution needs improvement. It needs to be more visual."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The initial setup is challenging if doing it for the first time."

"Technical support could be improved."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"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."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"It got us a good amount of money with quick and efficient modeling."

"It is a huge increase to time savings."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"It is an expensive product."

"This tool, being an IBM product, is pretty expensive."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

More IBM SPSS Modeler pricing and cost advice

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

14%

Manufacturing Company

Computer Software Company

Educational Organization

14%

Financial Services Firm

11%

University

Computer Software Company

Financial Services Firm

22%

University

13%

Educational Organization

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

See all answers

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...

See all answers

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...

See all answers

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

It is an expensive product.

See all answers

What needs improvement with IBM SPSS Modeler?

The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be e...

See all answers

What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

See all answers

What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a...

See all answers

What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

Comparisons

Databricks vs Dataiku

Compared 36% of the time

KNIME vs Dataiku

Compared 13% of the time

Alteryx vs Dataiku

Compared 12% of the time

RapidMiner vs Dataiku

Compared 9% of the time

Anaconda vs Dataiku

Compared 1% of the time

More Dataiku Competitors

Microsoft Power BI vs IBM SPSS Modeler

Compared 21% of the time

KNIME vs IBM SPSS Modeler

Compared 20% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 10% of the time

RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

SAP Predictive Analytics vs IBM SPSS Modeler

Compared 2% of the time

More IBM SPSS Modeler Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 26% of the time

RapidMiner vs SAS Enterprise Miner

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 13% of the time

KNIME vs SAS Enterprise Miner

Compared 6% of the time

SAS Analytics vs SAS Enterprise Miner

Compared 5% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Dataiku

June 2024

Download Dataiku product report

Buyer's Guide

IBM SPSS Modeler

June 2024

Download IBM SPSS Modeler product report

Buyer's Guide

Data Mining

June 2024

Download SAS Enterprise Miner product report

Also Known As

Dataiku DSS

SPSS Modeler

Enterprise Miner

Learn More

Dataiku

Video not available

IBM

SAS

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

Data Science Platforms

May 2024

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