Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs SnapLogic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 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
7.1
Azure Data Factory automates data processes, cuts costs, and improves efficiency, offering potential ROI of 20%-30% over five years.
Sentiment score
8.3
SnapLogic delivers significant time savings, improved efficiency, cost-effectiveness, and enhanced data analytics, driving better business decisions and ROI.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive and helpful, though response times and efficiency vary based on issue complexity and support package.
Sentiment score
6.8
SnapLogic's support is praised for effectiveness but needs improvement in response times and technical expertise for urgent issues.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is scalable and flexible for enterprises, though some concerns about costs and external integration exist.
Sentiment score
7.3
SnapLogic is scalable and flexible for cloud environments, though some users note a learning curve and configuration challenges.
Azure Data Factory is highly scalable.
I rate the scalability of SnapLogic as eight out of ten.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is reliable, scoring 8-9/10, though some report occasional glitches or slowdowns under heavy loads.
Sentiment score
7.4
SnapLogic offers reliable performance and minimal downtime, but may struggle with large datasets despite ease of use.
The solution has a high level of stability, roughly a nine out of ten.
I would rate the stability of SnapLogic as nearly ten out of ten.
 

Room For Improvement

Azure Data Factory needs better integration, simplified UI, improved connectivity, enhanced support, clearer pricing, and performance scalability for large data.
SnapLogic users seek more features, better support, user-friendly interfaces, enhanced capabilities, and improved stability and customization options.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
 

Setup Cost

Azure Data Factory has complex pricing, with costs varying widely due to usage, data volume, and additional services.
SnapLogic offers competitive, flexible pricing based on node costs and data volume, appealing for complex integrations without coding.
The pricing is cost-effective.
It is considered cost-effective.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
 

Valuable Features

Azure Data Factory provides scalable data transformation, integration, and orchestration with user-friendly interface and extensive connector support.
SnapLogic offers an intuitive interface with diverse connectors and efficient data management, praised for customization and high-volume handling.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
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.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
89
Ranking in other categories
Cloud Data Warehouse (3rd)
SnapLogic
Ranking in Data Integration
25th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
24
Ranking in other categories
Process Automation (16th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (10th)
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, down from 12.9% compared to the previous year. The mindshare of SnapLogic is 1.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
VinethSuresh - PeerSpot reviewer
Achieves rapid results in data migration and has an intuitive user interface
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
832,138 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
26%
Manufacturing Company
10%
Computer Software Company
9%
Real Estate/Law Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
SnapLogic is doing well in evolving with the AI landscape. However, if the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial. Addi...
What is your primary use case for SnapLogic?
I utilize SnapLogic for data migration and data integration projects. I use it mainly as a middleware tool, working with a lot of SAP data. By transferring SAP data into more cost-effective databas...
 

Also Known As

No data available
DataFlow
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
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 Azure Data Factory vs. SnapLogic and other solutions. Updated: January 2025.
832,138 professionals have used our research since 2012.