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Microsoft Azure Machine Learning Studio vs SnapLogic 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
7.0
Microsoft Azure Machine Learning Studio improves efficiency with a 36% ROI, offering streamlined processes and comprehensive solutions.
Sentiment score
5.1
SnapLogic reduces costs and development time, enhancing efficiency through automation, intuitive interfaces, and pre-built components.
I have seen a return on investment from using Microsoft Azure Machine Learning Studio in terms of workload reduction, as we now complete the same projects with two people instead of five.
Data Scientist
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Technical Specialist App Development at Birlasoft IndiaLtd.
The reports and pipelines run, leading to cost savings that reduce manual effort and save 50,000 to 150,000 USD annually.
Product Manager at a university with 501-1,000 employees
Suppose there was an issue resolution time of 10 hours for the previous manual effort; now it is reduced to one hour or half an hour.
Integration Consultant at a consultancy with 1,001-5,000 employees
 

Customer Service

Sentiment score
7.2
Microsoft Azure Machine Learning Studio offers responsive support, but small clients suggest faster responses and improved escalation processes.
Sentiment score
6.8
SnapLogic support is highly praised for responsiveness and expertise, though some note wait times; high-tier users get faster service.
The customer support for Microsoft Azure Machine Learning Studio is quite responsive across different channels, making it a cool experience.
Data Scientist
Microsoft technical support is rated a seven out of ten.
Solution Sales Specialist at Intent Solutions Group
The responsiveness, technical expertise, knowledge base and documentation, support channels, and continuous improvement were impeccable.
Product Manager at a university with 501-1,000 employees
They are providing the best customer support to the organization and the vendors.
Integration Consultant at a consultancy with 1,001-5,000 employees
I have been very impressed with how responsive they are and how well they take feedback and they value my team's experience.
Senior Software Engineer at Cooperative Benefits Group
 

Scalability Issues

Sentiment score
7.4
Microsoft Azure Machine Learning Studio is praised for its scalability, flexibility, and efficient cloud-based capabilities, with high user satisfaction.
Sentiment score
6.8
SnapLogic provides scalable, flexible integration for diverse needs, enabling easy expansion with plug-and-play features and cloud scalability.
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
Data Engineer at a educational organization with 201-500 employees
We are building Azure Machine Learning Studio as a scalable solution.
Senior Developer at a financial services firm with 10,001+ employees
Microsoft Azure Machine Learning Studio's scalability has been beneficial, as I could increase my compute resources when needing more data injection.
Data Scientist
After implementing SnapLogic, pipelines that processed one to two million records per week can now handle five to 10 million records without additional infrastructure.
Product Manager at a university with 501-1,000 employees
That means you can connect any system or application anytime, whether day or night, scheduled or dynamic, and anywhere, whether it is cloud or on-premises.
Integration Solution Architect at Hitachi Digital
It supports enterprise-wide integration and has a cloud-native architecture.
Integration Consultant at a consultancy with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.8
Microsoft Azure Machine Learning Studio is stable, reliable, with occasional JavaScript issues, suitable for non-production environments.
Sentiment score
7.8
SnapLogic is praised for reliability and stability, with users noting minimal downtime despite occasional post-upgrade issues.
I would rate the stability of SnapLogic as nearly ten out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
But recently, in a year, I haven't found many performance issues in SnapLogic.
Technical Specialist App Development at Birlasoft IndiaLtd.
More robust APIs would assist anyone looking to automate processes.
Technical Infrastructure manager at a university with 10,001+ employees
 

Room For Improvement

Users seek improved usability, algorithm variety, support, pricing, integration, deep learning modules, and better data preparation in Azure ML Studio.
SnapLogic users face transparency, debugging, and efficiency issues, with expensive training, frequent UI changes, and inadequate data handling.
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
Data Engineer at a educational organization with 201-500 employees
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
Solution Sales Specialist at Intent Solutions Group
In future updates, I would appreciate improvements in integration and more AI features.
Public Cloud at KDDI Corporation
We require a data pipeline that can be read without latency and without any delay.
Architect at a transportation company with 1,001-5,000 employees
IP whitelisting is the area that SnapLogic definitely has to improve.
Integration Solution Architect at Hitachi Digital
I would like to see if the execution can show the data flowing into those individual snaps and provide the same kind of error that I receive when validating, as that would be much more useful.
Data and Engineering Lead at a tech vendor with 51-200 employees
 

Setup Cost

Microsoft Azure's pricing is seen as reasonable, though complexities and potential high costs require careful management.
SnapLogic's cloud-based, subscription pricing is flexible but can be premium, impacted by data volume and usage scale.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
Solution Sales Specialist at Intent Solutions Group
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go.
Data Scientist
I feel SnapLogic is very expensive compared to others.
Integration Solution Architect at Hitachi Digital
There would be only one point of improvement if the price could be lower.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Valuable Features

Microsoft Azure Machine Learning Studio is user-friendly, scalable, integrates with Azure, supports AutoML, and accommodates all skill levels.
SnapLogic offers powerful ETL capabilities, a low-code interface, and AI features, enhancing productivity and reducing integration costs.
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Data Engineer at a educational organization with 201-500 employees
Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding.
Data Scientist
Azure Machine Learning Studio provides a platform to integrate with large language models.
Senior Developer at a financial services firm with 10,001+ employees
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic provides inbuilt Snaplets, such as creating and closing an audit ID, removing duplicates, joining tables, writing to Oracle, files, XML, SF, SMTP connections, and more.
Data Engineer at a tech vendor with 10,001+ employees
SnapLogic excels in data transformations, monitoring, and observability, providing scalability controls for the pipelines.
Senior Data Engineer at a university with 201-500 employees
 

Categories and Ranking

Microsoft Azure Machine Lea...
Ranking in AI Development Platforms
7th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (8th)
SnapLogic
Ranking in AI Development Platforms
15th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
67
Ranking in other categories
Customer Data Integration (4th), Data Integration (5th), Business-to-Business Middleware (6th), Migration Tools (4th), Process Automation (4th), API Management (8th), Cloud Data Integration (3rd), Data Preparation Tools (6th), Data Migration Appliances (4th), Low-Code Development Platforms (15th), Integration Platform as a Service (iPaaS) (1st), AI Governance (5th), AI Orchestration Frameworks (4th), Agentic Automation (8th), AI Agent Builders (11th), Business Orchestration and Automation Technologies (7th)
 

Mindshare comparison

As of November 2026, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 3.2%, down from 4.2% compared to the previous year. The mindshare of SnapLogic is 0.0%. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.2%
SnapLogic0.0%
Other96.8%
AI Development Platforms
 

Featured Reviews

reviewer2722962 - PeerSpot reviewer
Data Scientist
Platform accelerates model development, enhances collaboration, and offers efficient deployment
The best features Microsoft Azure Machine Learning Studio offers include deep integration with Python notebooks and Azure Data Lake, which allows me to import external data, and through the pipeline, I can build my models, performing what is called data injection for my model building, making that deep integration quite interesting to use. Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding. Microsoft Azure Machine Learning Studio has positively impacted my organization by reducing our project delivery times and increasing the pace at which we work, allowing us to focus on other more important tasks. Using Microsoft Azure Machine Learning Studio has reduced our model development time from approximately four hours to about two hours.
AR
Integration Consultant at a consultancy with 1,001-5,000 employees
Low-code integrations have automated workflows and save time across enterprise applications
They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience. In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect. SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability. Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well. SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000. They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.
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Top Industries

By visitors reading reviews
Outsourcing Company
13%
Financial Services Firm
12%
Performing Arts
7%
Manufacturing Company
7%
Manufacturing Company
11%
Outsourcing Company
11%
Comms Service Provider
11%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise6
Large Enterprise32
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise18
Large Enterprise36
 

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 Python. It offers many different cluster choices and excellent integration with ...
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go, meaning it won't cost excessively unless specific resources are used.
What needs improvement with Microsoft Azure Machine Learning Studio?
The initial setup can be a bit challenging for someone new, as the learning curve can be steep, but once I master the platform, I find it quite manageable. I would love to see the integration of a ...
What needs improvement with SnapLogic?
I feel SnapLogic can be improved, particularly on the user interface side. While it is good, I believe we can improve the GUI further. This improvement would help newcomers by making the interface ...
What is your primary use case for SnapLogic?
My main use case for SnapLogic is for different projects involving data migrations. We need to migrate data from our old SQL database to SnapLogic. I am mainly using it for this purpose and am curr...
What advice do you have for others considering SnapLogic?
SnapLogic is a powerful tool that is easy to use. It is more beneficial, more secure, and more stable compared to other tools I have used previously. I can recommend this to everyone. I have rated ...
 

Also Known As

Azure Machine Learning, MS Azure Machine Learning Studio
DataFlow, SnapLogic Intelligent Integration Platform (IIP)
 

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Find out what your peers are saying about Google, Microsoft, Hugging Face and others in AI Development Platforms. Updated: October 2026.
921,523 professionals have used our research since 2012.