Azure Data Factory vs Boomi iPaaS comparison

The compared Microsoft and Boomi solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.1, and holds a 11.0% mindshare in the category. Boomi is ranked #6 in PaaS , with an average rating of 7.5, and holds a 9.1% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 84% of Boomi users who would recommend it.

Azure Data Factory

Read 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

Boomi iPaaS

Read 26 Boomi iPaaS reviews

2,160 Views
1,514 Comparison Views

84% willing to recommend

Azure Data Factory

Boomi iPaaS

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and Boomi iPaaS based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Boomi iPaaS Report (Updated: May 2023).

Buyer's Guide

Azure Data Factory vs. Boomi iPaaS

May 2023

Download the complete report

Helped 824,067 peers since 2012

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

Boomi iPaaS

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

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 11.0%, down 13.3% compared to last year.
Boomi iPaaS, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 9.1% mindshare, up 8.3% since last year.

Data Integration

Integration Platform as a Service (iPaaS)

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.

Read full review

Subhajit Bhattacharjee

Lead Consultant at Itcinfotech

Exceptional drag-and-drop integration module

It would be great to have more assistance and credit services for additional features. For instance, virtual class initials are available but not for backend processing moves. Making that more visible, like other Azure products, would be helpful. Moreover, the documentation is good, but it could be improved. It is changing every day, and I sometimes find that it's not updated enough or some code levels are not included.

Read full review

Quotes from Members

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

Pros

"The data flows were beneficial, allowing us to perform multiple transformations."

"It is beneficial that the solution is written with Spark as the back end."

"The initial setup is very quick and easy."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The best part of this product is the extraction, transformation, and load."

More Azure Data Factory pros

"This solution has a user-friendly interface and very good documentation with solutions that helped us in working with the tool efficiently."

"I like the tool's optimization feature."

"The connection configuration part and the drag-and-drop integration module are the most valuable features for me."

"I have found the solution to be scalable."

"AtomSphere Integration will suit those looking for small automation and simple integrations."

"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."

"Boomi iPaaS has substantially reduced operational costs by providing out-of-the-box connectors that expedite the integration process with enterprise systems."

"I really appreciate the on-the-go access through the browser and the B2B integration."

More Boomi iPaaS pros

Cons

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

"Azure Data Factory uses many resources and has issues with parallel workflows."

"The pricing model should be more transparent and available online."

"Real-time replication is required, and this is not a simple task."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"The Microsoft documentation is too complicated."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

More Azure Data Factory cons

"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."

"The deployment was simple, but the implementation is missing a lot of capabilities."

"Have to create some of our own pre-built connectors."

"The API can use some work to come up to speed with the competition but Dell has plans and is working on resolving that."

"It is a costly platform. Its pricing could be better."

"Lots of enhancements are needed in the API portal so that the developers can view the definitions, try out the APIs, etc."

"Documentation could be improved."

"We encountered stability issues occasionally, one to two times a year."

More Boomi iPaaS cons

Pricing and Cost Advice

"The price is fair."

"The cost is based on the amount of data sets that we are ingesting."

"The pricing model is based on usage and is not cheap."

"The licensing cost is included in the Synapse."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"The solution's pricing is competitive."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"Data Factory is expensive."

More Azure Data Factory pricing and cost advice

"There could be an easy-to-understand licensing model."

"When it comes to pricing, it's not so much about being less expensive as it is about how they don't tie to the hardware on the underlined VMware that you run on, as other vendors do"

"They do not charge by the number of people using the software (client-server model), but rather they charge based on the number of connections used. This makes it very cost effective."

"This solution is very economical (based on the connections)."

"The Platinum package is good for licensing, but I’m not sure about the cost and improvements."

"The pricing is not reasonable at all. It's very high."

"Approximately 20k annually."

"AtomSphere Integration's pricing is competitive, and I would rate it seven out of ten."

More Boomi iPaaS pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

824,067 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

17%

Manufacturing Company

10%

Financial Services Firm

Government

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.

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Boomi AtomSphere Integration?

Boomi AtomSphere Integration is a relatively cheap and cost-effective product compared to other products like SAP or Oracle. I don't know the exact price of the product.

See all answers

What needs improvement with Boomi AtomSphere Integration?

The integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Microsoft Azure Logic Apps vs Boomi iPaaS

Compared 23% of the time

webMethods.io vs Boomi iPaaS

Compared 8% of the time

SSIS vs Boomi iPaaS

Compared 6% of the time

SEEBURGER Business Integration Suite vs Boomi iPaaS

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Boomi iPaaS

Compared 3% of the time

More Boomi iPaaS Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

Download Azure Data Factory product report

Buyer's Guide

Boomi iPaaS

December 2024

Download Boomi iPaaS product report

Also Known As

No data available

Boomi

Learn More

Microsoft

Boomi

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.

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

Buyer's Guide

Azure Data Factory vs. Boomi iPaaS

May 2023

Free Report: Azure Data Factory vs. Boomi iPaaS

Find out what your peers are saying about Azure Data Factory vs. Boomi iPaaS and other solutions. Updated: May 2023.

DOWNLOAD NOW

824,067 professionals have used our research since 2012.

See our Azure Data Factory vs. Boomi iPaaS report.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.