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Databricks vs Microsoft Azure Machine Learning Studio comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024

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
6.8
Microsoft Azure Machine Learning Studio improved efficiency, reducing steps and errors, boosting ROI and aligning with customer expectations.
 

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.
Sentiment score
7.2
Microsoft Azure Machine Learning Studio provides varying support with strengths in consultancy and documentation, though first-line response delays exist.
 

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
7.3
Microsoft Azure Machine Learning Studio is praised for its scalable cloud-based platform, efficiently supporting varying user sizes and tasks.
 

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.
Sentiment score
7.7
Microsoft Azure Machine Learning Studio is stable and reliable, with occasional data-related hiccups and security environment concerns.
 

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.
Microsoft Azure Machine Learning Studio requires better integration, enhanced features, cost clarity, improved security, and more user-friendly resources.
In future updates, I would appreciate improvements in integration and more AI features.
 

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.
Microsoft Azure Machine Learning Studio pricing varies with options from free to enterprise, affecting cost-effectiveness based on usage.
 

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.
Microsoft Azure Machine Learning Studio offers a user-friendly, scalable platform with drag-and-drop, no-code development, and robust data integration.
Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints.
 

Categories and Ranking

IBM SPSS Statistics
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Ranking in Data Science Platforms
9th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
Databricks
Ranking in Data Science Platforms
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Streaming Analytics (1st)
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
58
Ranking in other categories
AI Development Platforms (3rd)
 

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 Databricks is 19.2%, up from 18.7% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.9%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Q&A Highlights

NC
Sep 23, 2021
 

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.
Klaus Lozie - PeerSpot reviewer
Provides good integration and used for data labeling
Lately, we have had some issues with the solution regarding labeling jobs. We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2. Microsoft has a lot of documentation, but you can do it using the CLI, UI, or Python SDK version 2. You can have 100 ways of working, while I would like to have one way of working. It's very difficult to know what is best, according to Microsoft.
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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%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
 

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...
 

Also Known As

SPSS Statistics
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Azure Machine Learning, MS Azure Machine Learning Studio
 

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
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about Databricks vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: December 2024.
824,168 professionals have used our research since 2012.