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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
89
Ranking in other categories
Cloud Data Warehouse (3rd)
Rivery
Ranking in Data Integration
37th
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 (20th)
 

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.8%, down from 13.4% compared to the previous year. The mindshare of Rivery is 0.2%, 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

"Allows more data between on-premises and cloud solutions"
"It makes it easy to collect data from different sources."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"The best part of this product is the extraction, transformation, and load."
"We use the solution to move data from on-premises to the cloud."
"The most valuable feature is the copy activity."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"Data Factory's best features are simplicity and flexibility."
"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

"Data Factory's performance during heavy data processing isn't great."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"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 setup and configuration process could be simplified."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"Lineage and an impact analysis or logic dependency are lacking."
"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."
 

Pricing and Cost Advice

"This is a cost-effective solution."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"The cost is based on the amount of data sets that we are ingesting."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"I would not say that this product is overly expensive."
"I would rate Data Factory's pricing nine out of ten."
"ADF is cheaper compared to AWS."
"Pricing is comparable, it's somewhere in the middle."
"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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Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
831,265 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
16%
Government
11%
Computer Software Company
11%
Manufacturing Company
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 ...
 

Learn More

 

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: January 2025.
831,265 professionals have used our research since 2012.