Domino Data Science Platform vs IBM Watson Studio comparison

Domino Data Lab and IBM are both solutions in the Data Science Platforms category. Domino Data Lab is ranked #20, while IBM is ranked #12 with an average rating of 8.2. Domino Data Lab holds a 2.7% mindshare in Data Science Platforms, compared to IBM’s 2.1% mindshare. Additionally, 100% of Domino Data Lab users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Domino Data Science Platform and IBM Watson Studio based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Domino Data Science Platform vs. IBM Watson Studio Report (Updated: November 2024).

Buyer's Guide

Domino Data Science Platform vs. IBM Watson Studio

November 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of Domino Data Science Platform is 2.7%, up from 2.6% compared to the previous year. The mindshare of IBM Watson Studio is 2.1%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

AbakarAhmat

Software Engineer at a university with 10,001+ employees

Enhancing survey analysis that provides valued insightfulness

I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.

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AHMEDSAHRAOUI

Machine Learning Engineer at Unemployed

Accelerated machine learning model development with seamless deployment

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…

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Abilio Duarte

Senior Solutions Architect at Self-employed

A highly robust and well-documented platform that simplifies the complex world of AI

The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

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

"One feature I found very valuable was the analysis of variance (ANOVA)."

"IBM SPSS Statistics depends on AI."

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

"in terms of the simplicity, I think the SPSS basic can handle it."

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."

"Most of the product features are good but I particularly like the linear regression analysis."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

More IBM SPSS Statistics pros

"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."

"The scalability of the solution is good; I'd rate it four out of five."

"IBM Watson Studio consistently automates across channels."

"It has greatly improved the performance because it is standardized across the company."

"Stability-wise, it is a great tool."

"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."

"The scalability of IBM Watson Studio is great."

"It is a stable, reliable product."

"It has a lot of data connectors, which is extremely helpful."

"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."

More IBM Watson Studio pros

Cons

"The solution needs to improve forecasting using time series analysis."

"Better documentation on how to use macros."

"The technical support should be improved."

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

"Improvements are needed in the user interface, particularly in terms of user-friendliness."

"Needs more statistical modelling functions."

"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."

"It could allow adding color to data models to make them easier to interpret."

More IBM SPSS Statistics cons

"The predictive analysis feature needs improvement."

"The deployment of large language models (LLMs) could be improved."

"The initial setup was complex."

"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."

"The solution's interface is very slow at times."

"So a better user interface could be very helpful"

"Some of the solutions are really good solutions but they can be a little too costly for many."

"We would like to see it more web-based with more functionality."

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

"I want IBM's technical support team to provide more specific answers to queries."

More IBM Watson Studio cons

Pricing and Cost Advice

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

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

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

"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."

"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."

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

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

More IBM SPSS Statistics pricing and cost advice

Information not available

"Watson Studio's pricing is reasonable for what you get."

"IBM Watson Studio is an expensive solution."

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

"IBM Watson Studio is a reasonably priced product"

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

University

Computer Software Company

Manufacturing Company

Financial Services Firm

32%

Manufacturing Company

12%

Computer Software Company

Insurance Company

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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.

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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 produ...

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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 result...

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What do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

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What is your experience regarding pricing and costs for IBM Watson Studio?

IBM Watson Studio is an expensive solution.

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What needs improvement with IBM Watson Studio?

From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment a...

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Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 14% of the time

Alteryx vs IBM SPSS Statistics

Compared 14% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

More IBM SPSS Statistics Competitors

Amazon SageMaker vs Domino Data Science Platform

Compared 36% of the time

Databricks vs Domino Data Science Platform

Compared 29% of the time

Dataiku vs Domino Data Science Platform

Compared 9% of the time

Microsoft Azure Machine Learning Studio vs Domino Data Science Platform

Compared 7% of the time

Anaconda vs Domino Data Science Platform

Compared 3% of the time

More Domino Data Science Platform Competitors

Databricks vs IBM Watson Studio

Compared 26% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Google Vertex AI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 13% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

November 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Data Science Platforms

November 2024

Download Domino Data Science Platform product report

Buyer's Guide

IBM Watson Studio

November 2024

Download IBM Watson Studio product report

Also Known As

SPSS Statistics

Domino Data Lab Platform

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

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IBM

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Domino Data Lab

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IBM

Interactive Demo

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IBM

Domino Data Lab

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IBM

Overview

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.”

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

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

Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Domino Data Science Platform vs. IBM Watson Studio

November 2024

Free Report: Domino Data Science Platform vs. IBM Watson Studio

Find out what your peers are saying about Domino Data Science Platform vs. IBM Watson Studio and other solutions. Updated: November 2024.

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