Azure Data Factory vs Rivery comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Cloud Data Warehouse (3rd)
Rivery
Ranking in Data Integration
58th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Migration Tools (26th), Cloud Migration (39th), Cloud Data Integration (26th)
 

Mindshare comparison

As of June 2024, in the Data Integration category, the mindshare of Azure Data Factory is 9.6%, down from 13.6% compared to the previous year. The mindshare of Rivery is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
Unique Categories:
Cloud Data Warehouse
13.6%
 

Featured Reviews

PA
Jul 17, 2023
A tool that offers overall efficiency to its users, particularly in the area of data warehousing
There aren't many third-party extensions or plugins available in the solution. Adjunction or addition of third-party extensions or plugins to Azure Data Factory can be a great improvement in the tool. Creation of custom codes, custom extensions, or third-party extensions, like Lookup extension, should be made possible in the tool. I am unsure if Azure Data Factory bridges the gap between on-premises, cloud, and hybrid solutions. I would like to see a version that would work equally well in both on-premises and cloud environments. I would like to see the aforementioned offerings made to customers as valuable alternatives to the old SSIS tool.
SL
Jul 19, 2021
Great logic and the ability to call outside API if needed. Key feature is management of different sources
Our use case of this solution is as an ETL tool, or in the category of an IPAS, integration platform as a service. We use this to ingest data. Rivery is also our scheduler to run all our data procedures on our ETL engine. I'm a machine learning and data engineer and we are customers of Rivery…

Quotes from Members

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

Pros

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The solution can scale very easily."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"Its integrability with the rest of the activities on Azure is most valuable."
"It's extremely consistent."
"Connects to many APIs in the market and new ones are being added all the time."
 

Cons

"There is no built-in pipeline exit activity when encountering an error."
"When the record fails, it's tough to identify and log."
"The speed and performance need to be improved."
"The setup and configuration process could be simplified."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"Data Factory's monitorability could be better."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"There aren't many third-party extensions or plugins available in the solution."
"Lineage and an impact analysis or logic dependency are lacking."
 

Pricing and Cost Advice

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"It's not particularly expensive."
"The pricing is a bit on the higher end."
"The price you pay is determined by how much you use it."
"The solution's pricing is competitive."
"Product is priced at the market standard."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
13%
University
8%
Recreational Facilities/Services Company
8%
 

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...
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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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