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Databricks vs Domo comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
8.7
IBM SPSS Statistics delivers 50% ROI by streamlining data analysis, saving time and money for organizations and universities.
Sentiment score
6.5
Users saved significantly on costs and increased efficiency by moving workloads to Databricks, achieving $75k ROI per year.
Sentiment score
7.5
Domo's ROI varies: some achieve significant savings and efficiency, while others face high costs and limited financial benefits.
 

Customer Service

Sentiment score
6.6
IBM SPSS Statistics users experience varied customer service, generally finding it good; some appreciate prompt assistance, others rarely need support.
Sentiment score
7.1
Databricks support is praised for technical expertise and engagement, but experiences vary due to response times and Microsoft partner handling.
No sentiment score available
 

Scalability Issues

Sentiment score
6.5
Users report mixed scalability with IBM SPSS, affected by dataset size, infrastructure, and comparisons to competitors like SAS.
Sentiment score
7.5
Databricks offers significant, praised scalability from megabytes to petabytes, supporting vertical and horizontal scaling with auto-scaling features.
Sentiment score
7.2
Domo excels in scalability, efficiently handling diverse user needs and data, despite minor storage and app store issues.
 

Stability Issues

Sentiment score
7.6
IBM SPSS Statistics is reliable, handling large datasets well, though minor issues may occur with low RAM environments.
Sentiment score
7.8
Databricks is highly stable and reliable, with minimal issues reported, especially during heavy processes, and receives high user ratings.
No sentiment score available
 

Room For Improvement

IBM SPSS Statistics needs improvements in visualization, pricing, interface, integration, documentation, and automation for better user experience.
Databricks faces challenges with visualization, integration, costs, error clarity, libraries, interfaces, documentation, onboarding, automation, governance, and performance.
 

Setup Cost

IBM SPSS Statistics is costly, with advanced models up to $7,000, though discounts exist for educational and developing regions.
Databricks pricing varies greatly based on usage and cluster type, often considered expensive with additional cloud storage costs.
 

Valuable Features

IBM SPSS Statistics offers a user-friendly interface, robust analysis features, and flexible data handling for comprehensive statistical projects.
Databricks offers user-friendly large-scale analytics, seamless integration, versatile coding, collaborative tools, and efficient big data handling with extensive cloud support.
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
Data Mining (3rd), Data Science Platforms (9th)
Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Data Science Platforms (1st), Streaming Analytics (1st)
Domo
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
36
Ranking in other categories
Data Integration (30th), BI (Business Intelligence) Tools (11th), Business Performance Management (13th), Reporting (8th), Data Visualization (7th)
 

Mindshare comparison

Data Science Platforms
BI (Business Intelligence) Tools
 

Featured Reviews

Md Masudul Hassan - PeerSpot reviewer
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.
Dunstan Matekenya - PeerSpot reviewer
Process large-scale data sets and integrates with Apache Spark with notebook environment
Databricks integrates natively with Apache Spark, which I use as a processing engine for large-scale datasets. This native integration is one of its strengths. Another strength is that the platform makes it very easy to manage resources. For example, setting up a cluster of five or fifteen nodes is straightforward with Databricks. The notebook environment is also excellent, making it easy to perform various tasks.
James John Wilson - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
12%
University
9%
Manufacturing Company
9%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
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...
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...
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 ...
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...
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...
What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What needs improvement with Domo?
Dashboard settings in Domo are not much different from other platforms like Power BI. Data integration is okay, but n...
 

Comparisons

 

Also Known As

SPSS Statistics
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
corda
 

Learn More

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Overview

 

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
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!
Find out what your peers are saying about Databricks vs. Domo and other solutions. Updated: January 2021.
824,053 professionals have used our research since 2012.