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.
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
Dataiku partners with local industry experts who understand the business better and provide support.
The support team does not provide adequate assistance.
The customer service team is helpful and responsive, more or less on time.
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
It is not a very cost-effective solution, I must say, though it is good for developing purposes only.
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
The license is very expensive.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
There are no extra expenses beyond the existing licensing cost.
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
The pricing for Dataiku is very high, which is its biggest downside.
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
It offers most of the capabilities required for data science, MLOps, and LLMOps.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
| Product | Market Share (%) |
|---|---|
| Dataiku | 11.7% |
| IBM SPSS Statistics | 4.0% |
| Other | 84.3% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 19 |
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:
IBM SPSS Statistics Features
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.”
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