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Azure Data Factory vs Rivery 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:
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
Rivery
Ranking in Data Integration
34th
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
2
Ranking in other categories
Migration Tools (4th), Cloud Migration (13th), Cloud Data Integration (19th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of Rivery is 0.3%, up from 0.1% 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.
reviewer2335923 - PeerSpot reviewer
Provides users with an initial setup phase, which is fairly simple to manage
I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rivalry was a way to step up from what we used. To be honest, I am not really sure what improvements could be made in Rivery. Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better. I am not aware if there are additional packages for smaller organizations, but if there are no packages available, then maybe that would be a good way to introduce something new in the tool.

Quotes from Members

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

Pros

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"It is a complete ETL Solution."
"It makes it easy to collect data from different sources."
"The scalability of the product is impressive."
"The most important feature is that it can help you do the multi-threading concepts."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"Data Factory's best features are simplicity and flexibility."
"Azure Data Factory is a low code, no code platform, which is helpful."
"Connects to many APIs in the market and new ones are being added all the time."
"The solution's most valuable features are that it is quick to connect and simple to use."
 

Cons

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"The support and the documentation can be improved."
"The Microsoft documentation is too complicated."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."
"Lineage and an impact analysis or logic dependency are lacking."
 

Pricing and Cost Advice

"The pricing is a bit on the higher end."
"The price is fair."
"Data Factory is expensive."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The price you pay is determined by how much you use it."
"The cost is based on the amount of data sets that we are ingesting."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
11%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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 is your experience regarding pricing and costs for Rivery?
The tool's price can be a little steep for a small organization. I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten.
What needs improvement with Rivery?
I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rival...
What is your primary use case for Rivery?
My company has started to use the Rivery extract data from Hive. It is like a project management sort of program, and we started to use Rivery to get the data from there over into Mavenlink, so we ...
 

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
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Find out what your peers are saying about Azure Data Factory vs. Rivery and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.