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Azure Data Factory vs Boomi iPaaS comparison

 

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
7.1
Azure Data Factory offers significant time, effort, and infrastructure savings, enhancing data analysis and decision-making capabilities.
Sentiment score
7.5
Boomi iPaaS accelerates integration, reduces costs, and offers fast deployment with a pay-as-you-go pricing for high returns.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is praised for responsiveness, though some report delays; satisfaction varies with Microsoft partnerships.
Sentiment score
6.8
Boomi iPaaS customer service is praised for responsiveness, though response speed varies and frequent updates concern some users.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
We receive service that is more than adequate, even exceptional.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory scales efficiently, managing large datasets for enterprises, though users note cost and integration limitations.
Sentiment score
7.6
Boomi iPaaS is scalable yet faces challenges like pricing and technical issues, with effectiveness varying across different setups.
Azure Data Factory is highly scalable.
The reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, scalability, and performance, despite occasional minor issues with larger data volumes.
Sentiment score
5.6
Boomi iPaaS is reliable but occasionally unstable during high-volume tasks, with users generally satisfied with its performance.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory requires improvements in integration, pricing, documentation, UI, monitoring, processing, and debugging for enhanced user experience.
Boomi iPaaS needs better API management, documentation, and pricing, with improved user involvement and version control for novice users.
There is a problem with the integration with third-party solutions, particularly with SAP.
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.
The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
A significant area for improvement is version control.
 

Setup Cost

Azure Data Factory offers competitive, flexible pay-as-you-go pricing; costs vary by data volume and use of additional services.
Boomi iPaaS offers cost-effective pay-per-use pricing based on connections, suitable for businesses with diverse application needs.
The pricing is cost-effective.
It is considered cost-effective.
Companies often misunderstand ROI, seeing it as high, yet it equates to one or two full-time staff costs, addressing many needs.
 

Valuable Features

Azure Data Factory enables easy data integration, management, and transformation with over 100 connectors, supporting ETL and automation efficiently.
Boomi iPaaS offers low-code integration, numerous connectors, and strong API management, ideal for mid-sized businesses seeking automation.
It connects to different sources out-of-the-box, making integration much easier.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
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.
When developers learn how to use it, they become productive sooner.
The most valuable features of Boomi are the integration capabilities, the Data Hub product, and the UDI integration.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Boomi iPaaS
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

Azure Data Factory and Boomi iPaaS aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 10.1%, down 12.9% compared to last year.
Boomi iPaaS, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 9.7% mindshare, up 8.0% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

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.
Eugene Paden - PeerSpot reviewer
Integration solution proves maturity and drives productivity
There are many features we're using. We're starting to do AI now regarding integration with other platforms, focusing on creating integrations. A significant area for improvement is version control. Currently, you develop and cannot properly roll back to a previous version unless you create different versions. With proper version control, you could know which version to revert to and test other versions.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
15%
Manufacturing Company
11%
Financial Services Firm
10%
Government
6%
 

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 Boomi AtomSphere Integration?
The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for...
What is your experience regarding pricing and costs for Boomi AtomSphere Integration?
Pricing varies and they have changed it over the years. It depends on the company size and the value derived from the platform. While pricing is relative, compared to others, it is favorable. Clien...
What needs improvement with Boomi AtomSphere Integration?
There are many features we're using. We're starting to do AI now regarding integration with other platforms, focusing on creating integrations. A significant area for improvement is version control...
 

Also Known As

No data available
Boomi
 

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
DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
Find out what your peers are saying about Azure Data Factory vs. Boomi iPaaS and other solutions. Updated: May 2023.
838,713 professionals have used our research since 2012.