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 #15 with an average rating of 8.0, while IBM is ranked #12 with an average rating of 8.2. Domino Data Lab holds a 2.6% 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.

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Executive SummaryUpdated on Dec 5, 2024

IBM Watson Studio and Domino Data Science Platform are competing products in data science and machine learning. IBM Watson Studio may have the upper hand with broader integration capabilities and cloud accessibility, whereas Domino Data Science Platform is superior in features, providing a robust offering that justifies its price point.

Features: IBM Watson Studio offers strong integration with IBM's cloud services, enhanced data preparation tools, and automated machine learning. Domino Data Science Platform provides advanced collaboration tools and model management, along with scalability options that cater to enterprises in need of an end-to-end solution.

Ease of Deployment and Customer Service: Domino Data Science Platform supports flexible deployment options in on-premises and multi-cloud environments, facilitating usage of existing infrastructure, with customized customer support. IBM Watson Studio supports cloud deployment and provides sufficient onboarding resources.

Pricing and ROI: IBM Watson Studio generally has a lower initial setup cost, beneficial for businesses focusing on budget while offering significant value through cloud integrations. Domino Data Science Platform may require a higher upfront investment but delivers a strong ROI for enterprises requiring long-term scalability and advanced features, making it a valuable choice for data-driven innovation.

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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Helped 824,067 peers since 2012

Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

As of December 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.7%, up from 2.7% compared to the previous year. The mindshare of Domino Data Science Platform is 2.6%, down from 2.7% 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

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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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

"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."

"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."

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

"You can quickly build models because it does the work for you."

"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."

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

"IBM SPSS Statistics depends on AI."

More IBM SPSS Statistics pros

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

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

"The scalability of IBM Watson Studio is great."

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

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

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

"IBM Watson Studio consistently automates across channels."

"The solution is very easy to use."

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

"It is a stable, reliable product."

More IBM Watson Studio pros

Cons

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

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

"The solution needs more planning tools and capabilities."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"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."

"The design of the experience can be improved."

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"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."

More IBM SPSS Statistics cons

"The predictive analysis feature needs improvement."

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

"So a better user interface could be very helpful"

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

"I think maybe the support is an area where it lacks."

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

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

"Watson Studio would be improved with a clearer path for the deployment of docker images."

"The initial setup was complex."

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

More IBM Watson Studio cons

Pricing and Cost Advice

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"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."

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

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

"More affordable training for new staff members."

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

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

"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."

More IBM SPSS Statistics pricing and cost advice

Information not available

"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."

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

"IBM Watson Studio is a reasonably priced product"

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

University

Manufacturing Company

Financial Services Firm

32%

Manufacturing Company

11%

Computer Software Company

Insurance Company

Financial Services Firm

15%

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 needs improvement with Domino Data Science Platform?

The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that can...

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What is your primary use case for Domino Data Science Platform?

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-e...

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What advice do you have for others considering Domino Data Science Platform?

It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying so...

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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.

See all answers

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...

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 16% of the time

Alteryx vs IBM SPSS Statistics

Compared 13% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 11% 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 28% 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

SAS Visual Analytics vs Domino Data Science Platform

Compared 2% of the time

More Domino Data Science Platform Competitors

Databricks vs IBM Watson Studio

Compared 25% of the time

Google Vertex AI vs IBM Watson Studio

Compared 15% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 14% of the time

SAS Visual Analytics vs IBM Watson Studio

Compared 2% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

December 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Data Science Platforms

December 2024

Download Domino Data Science Platform product report

Buyer's Guide

IBM Watson Studio

December 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

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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