Dataiku vs IBM SPSS Statistics comparison

Dataiku and IBM are both solutions in the Data Science Platforms category. Dataiku is ranked #7 with an average rating of 7.5, while IBM is ranked #9 with an average rating of 8.4. Dataiku holds a 11.8% mindshare in Data Science Platforms, compared to IBM’s 2.7% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 91% of IBM users who would recommend it.

Dataiku

Read 8 Dataiku reviews

7,367 Views
6,070 Comparison Views

100% willing to recommend

IBM SPSS Statistics

Read 37 IBM SPSS Statistics reviews

2,673 Views
1,795 Comparison Views

91% willing to recommend

Dataiku

IBM SPSS Statistics

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Statistics and Dataiku are key players in the analytics and data solutions market. IBM SPSS Statistics often has the upper hand in statistical analysis features, while Dataiku excels in integration and machine learning functionalities.

Features: IBM SPSS Statistics offers powerful statistical analysis functions with regression and principal component analysis. Its intuitive point-and-click navigation makes it accessible for users looking for complex modeling. Dataiku provides strong no-code/low-code data preparation and a wide array of machine learning capabilities, ideal for data handling and feature selection.

Room for Improvement: IBM SPSS Statistics could enhance its data visualization tools and database integration. Users recommend improving its automation features and adding advanced statistical methods. Dataiku can improve its integration with platforms like GitHub, support more diverse data types, and further develop its user interface for less technical users.

Ease of Deployment and Customer Service: IBM SPSS Statistics focuses on on-premises deployment with some public cloud options, and its customer service is noted as responsive. Dataiku supports both on-premises and private cloud deployments, but users experience occasional delays in technical support responses.

Pricing and ROI: IBM SPSS Statistics is more expensive with multiple pricing tiers, but users often find the cost justified due to its comprehensive features and strong support, particularly in academic settings. Dataiku, while still costly, is seen as more affordable than some alternatives, delivering effective ROI through efficient data processing and reporting capabilities.

To learn more, read our detailed Dataiku vs. IBM SPSS Statistics Report (Updated: December 2024).

Buyer's Guide

Dataiku vs. IBM SPSS Statistics

December 2024

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Categories and Ranking

Dataiku

Ranking in Data Science Platforms

7th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM SPSS Statistics

Ranking in Data Science Platforms

9th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of December 2024, in the Data Science Platforms category, the mindshare of Dataiku is 11.8%, up from 7.6% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.7%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Sabrine Bendimerad

Data Scientist at Electricite De France

Saves a lot of time because I can quickly handle all the data preparation tasks and concentrate on building my machine learning algorithms

One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated. While it was theoretically possible to use GitHub with Dataiku, in practice, it was difficult to manage our code effectively and push it from Dataiku to GitHub. Another limitation was its ability to handle different types of data. While Dataiku is powerful for working with structured data, like regular or geospatial data, it struggled with more complex data types such as text and image. In addition to the challenges with GitHub integration, the limited support for diverse data types was another feature lacking at that time.

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Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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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

"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."

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

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

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

"Data Science Studio's data science model is very useful."

"The solution is quite stable."

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

"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."

More Dataiku pros

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."

"The most valuable feature is its robust statistical analysis capabilities."

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."

"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"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."

More IBM SPSS Statistics pros

Cons

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

"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."

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

"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."

"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."

"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)."

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

More Dataiku cons

"The reports could be better."

"I think the visualization and charting should be changed and made easier and more effective."

"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

More IBM SPSS Statistics cons

Pricing and Cost Advice

"Pricing is pretty steep. Dataiku is also not that cheap."

"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."

"I rate the tool's pricing a five out of ten."

"It's quite expensive, but they do a special deal for universities."

"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."

"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 price of this solution is a little bit high, which was a problem for my company."

"We think that IBM SPSS is expensive for this function."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

17%

Computer Software Company

University

Manufacturing 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?

It is very expensive.

See all answers

What needs improvement with Dataiku Data Science Studio?

See all answers

What is your primary use case for Dataiku Data Science Studio?

We use the solution for data science and machine learning.

See all answers

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

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

The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive product, despite being good.

See all answers

What needs improvement with IBM SPSS Statistics?

IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the resulting file and annotate your trail of evidence. It takes you further from your dat...

See all answers

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Compared 3% of the time

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Product Reports

Buyer's Guide

Dataiku

December 2024

Download Dataiku product report

Buyer's Guide

IBM SPSS Statistics

December 2024

Download IBM SPSS Statistics product report

Also Known As

Dataiku DSS

SPSS Statistics

Learn More

Dataiku

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IBM

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 Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "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 in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Sample Customers

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

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

Buyer's Guide

Dataiku vs. IBM SPSS Statistics

December 2024

Free Report: Dataiku vs. IBM SPSS Statistics

Find out what your peers are saying about Dataiku vs. IBM SPSS Statistics and other solutions. Updated: December 2024.

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