Databricks vs Domo vs IBM SPSS Modeler comparison

The compared Databricks and Domo solutions aren't in the same category. Databricks is ranked #8 in CDW , with an average rating of 8.3, and holds a 8.5% mindshare in the category. Domo is ranked #13 in BIT , with an average rating of 7.3, and holds a 5.9% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 82% of Domo users who would recommend it.

Databricks

Read 91 Databricks reviews

23,965 Views
2,157 Comparison Views

96% willing to recommend

Domo

Read 38 Domo reviews

5,319 Views
4,149 Comparison Views

82% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,195 Views
922 Comparison Views

86% willing to recommend

Databricks

Domo

IBM SPSS Modeler

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks, Domo, and IBM SPSS Modeler based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

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July 2025

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Review summaries and opinions

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

Mindshare comparison

Cloud Data Warehouse

BI (Business Intelligence) Tools

Data Mining

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

Read full review

James John Wilson

Business Development Manager at Freelancer

Robust, powerful, and easy to use

There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two. However, they were particular. What I wanted to see was the ability to collapse when you group a set of rows, let's say when you group them by status or health, so you have your red projects grouped up top. I wanted to compress or collapse that group of red and then open the yellow projects and then the green projects. There were a bit more features in the tables than I wanted to see. They have a widget that you can use either in Microsoft PowerPoint to pull over data into your PowerPoints and refresh graphs or charts or metrics or tables. I would love to see that available in Google Slides. I used it successfully in PowerPoint; however, at one company, they were only using Google products, and so that widget didn't help with reporting in slides. Therefore, we had to do a bit more manual work for our quarterly business reviews or monthly business reviews to produce our executive presentations. Sometimes the fonts were difficult to read if you're trying to put a lot of data in a table and show a lot of rows. Sometimes the fonts got too light, and you had to really play with it to try and figure out how to make it readable. One thing I had to do, and I don't know if it's necessarily a bad thing, was when I was running a meeting, I would have to go turn off the data jobs. If I was running a meeting and a lot of times people were scrambling in the background to do their updates even as the meeting was occurring, it would cause the page to render very slowly. It would sometimes pause or freeze. I found that if I went and turned off the status, the data update jobs that we're pulling data from Smartsheet, then the meetings would work more smoothly, and there were no interruptions or delays.

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PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

Read full review

Quotes from Members

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

Pros

"Databricks integrates well with other solutions."

"Databricks offers various courses that I can use, whether it's PySpark, Scala, or R."

"Easy to use and requires minimal coding and customizations."

"The setup was straightforward."

"Databricks' most valuable feature is the data transformation through PySpark."

"The setup is quite easy."

"The solution is built from Spark and has integration with MLflow, which is important for our use case."

"The most valuable feature of Databricks is the notebook, data factory, and ease of use."

More Databricks pros

"Domo's real-time insights and customizable alerts are one of their better features."

"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."

"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."

"The user interface is quite good."

"The ease of use, overall, is one of the valuable features, as is the ease of setup. Other than making sure IT was aware of, and agreed with our proceeding, we did not need IT for any of the setup. The ease of setup is more valuable than you might think. The ease of configuring the security policies, setting up groups, and setting up personalized data permissions so that only certain people can see certain data — that stuff is amazing... Domo really is extraordinarily full-featured, but it's really easy to use."

"The data certification feature, where the admin user can put a certified stamp on a data source so that other users can know that that is the correct and accurate data flow or data source to use, is a good feature."

"The dashboard is the most valuable feature and allows for customization to create and share reports."

"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."

More Domo pros

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

"It is pretty scalable."

"It scales. I have not run into any challenges where it will not perform."

"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 very scalable for non-technical people."

"We have full control of the data handling process."

More IBM SPSS Modeler pros

Cons

"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."

"The solution has some scalability and integration limitations when consolidating legacy systems."

"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."

"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."

"My experience with the pricing and licensing model is that it remains relatively expensive. Though it's less expensive than AWS, we still need a more cost-effective solution."

"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."

"The API deployment and model deployment are not easy on the Databricks side."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

More Databricks cons

"They should include service-based reporting features."

"Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed."

"It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time."

"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet."

"The preconfigured apps need to be more relevant to allow one, out of the box, to load data in order to use pre-set reports/views."

"I would like to see better data intake."

"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."

"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."

More Domo cons

"Dimension reduction should be classified separately."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"Customer support is hard to contact."

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

"It's not as user friendly as it could be."

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

"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

Pricing and Cost Advice

"We only pay for the Azure compute behind the solution."

"Databricks uses a price-per-use model, where you can use as much compute as you need."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"I would rate Databricks' pricing seven out of ten."

"The product pricing is moderate."

"I would rate the tool’s pricing an eight out of ten."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

"Price-wise, I would rate Databricks a three out of five."

More Databricks pricing and cost advice

"For about 100 users our cost is $95,800."

"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."

"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."

"We are making money from Domo, and all our clients are happy with the information that they receive from it."

"It started out at about $600 a seat. However, then as we started to grow, it scaled that down to about $330 or 3$50 a seat, if I'm not mistaken."

"I think it is reasonable."

"Domo is slightly costly but it's much cheaper than some."

"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."

More Domo pricing and cost advice

"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."

"It is an expensive product."

"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."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

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

"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 a huge increase to time savings."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

University

12%

Computer Software Company

12%

Financial Services Firm

Manufacturing Company

Educational Organization

12%

Financial Services Firm

11%

Government

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designe...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analyti...

See all answers

What do you like most about Domo?

All our client SLAs and daily and weekly dashboards are tracked on Domo.

See all answers

What is your experience regarding pricing and costs for Domo?

Domo is expensive compared to other solutions.

See all answers

What needs improvement with Domo?

Domo is the premium option of all the choices. It has fancy features including a built-in chat program with the Buzz ...

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?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly bud...

See all answers

What needs improvement with IBM SPSS Modeler?

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the ser...

See all answers

Comparisons

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Microsoft Power BI vs Databricks

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Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

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Tableau Enterprise vs Domo

Compared 36% of the time

Microsoft Power BI vs Domo

Compared 35% of the time

Palantir Foundry vs Domo

Compared 5% of the time

Apache Superset vs Domo

Compared 2% of the time

Qlik Sense vs Domo

Compared 2% of the time

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Microsoft Power BI vs IBM SPSS Modeler

Compared 24% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 24% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 14% of the time

Altair RapidMiner vs IBM SPSS Modeler

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Dataiku vs IBM SPSS Modeler

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Product Reports

Buyer's Guide

Databricks

August 2025

Download Databricks product report

Buyer's Guide

Domo

August 2025

Download Domo product report

Buyer's Guide

IBM SPSS Modeler

July 2025

Download IBM SPSS Modeler product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

corda

SPSS Modeler

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

Domo

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

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!

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

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: July 2025.

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