Azure Data Factory vs Rivery comparison

Microsoft and Rivery are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Rivery is ranked #36 with an average rating of 8.0. Microsoft holds a 5.2% mindshare in DI, compared to Rivery’s 0.6% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Rivery users who would recommend it.

Azure Data Factory

Read 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

Rivery

Read 2 Rivery reviews

755 Views
521 Comparison Views

100% willing to recommend

Azure Data Factory

Rivery

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Azure Data Factory and Rivery compete in the data integration space, each offering distinct advantages. Azure Data Factory is advantageous for those leveraging Microsoft Azure services heavily, while Rivery focuses on automation and scalability, appealing to businesses managing large data volumes.

Features: Azure Data Factory provides native integration with Azure services, advanced data orchestration, and comprehensive data transformation options. Rivery offers automated data pipelines, outstanding scalability, and easy adaptation to dynamic environments, catering to complex data workflows.

Ease of Deployment and Customer Service: Azure Data Factory may present deployment challenges but benefits from robust support within the Microsoft ecosystem. Rivery features a straightforward, no-code deployment, making it accessible to organizations with limited technical expertise. Both offer extensive customer support, though Rivery's simplified approach can appeal to teams with fewer resources.

Pricing and ROI: Azure Data Factory's flexible pricing aligns with Microsoft's other services, creating potential cost efficiencies for users within the ecosystem. Rivery's pricing structure is more transparent and can seem higher; however, the potential for significant ROI from its advanced capabilities is attractive for data-centric operations.

To learn more, read our detailed Azure Data Factory vs. Rivery Report (Updated: September 2025).

Buyer's Guide

Azure Data Factory vs. Rivery

September 2025

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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

Ranking in other categories

Cloud Data Warehouse (2nd)

Rivery

Ranking in Data Integration

36th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Migration Tools (4th), Cloud Migration (14th), Cloud Data Integration (20th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of Rivery is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
Rivery	0.6%
Other	94.2%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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reviewer2335923

Senior Operations Analyst at a computer software company with 201-500 employees

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.

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Quotes from Members

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

Pros

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"In terms of my personal experience, it works fine."

"It is a complete ETL Solution."

"We haven't had any issues connecting it to other products."

"The data copy template is a valuable feature."

More Azure Data Factory pros

"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 one element of the solution that we have used and could be improved is the user interface."

"The Microsoft documentation is too complicated."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

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

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"Some of the optimization techniques are not scalable."

"Some prebuilt data source or data connection aspects are generic."

"There is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration."

More Azure Data Factory cons

"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

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"ADF is cheaper compared to AWS."

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

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

More Azure Data Factory pricing and cost advice

"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

13%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

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.

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...

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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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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.

See all answers

What needs improvement with Rivery?

See all answers

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 ...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 8% of the time

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

Compared 6% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

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Fivetran vs Rivery

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Alteryx Designer vs Rivery

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Upsolver vs Rivery

Compared 10% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

October 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

October 2025

Download Rivery product report

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.

Microsoft

Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.

By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.

Rivery

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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Buyer's Guide

Azure Data Factory vs. Rivery

September 2025

Free Report: Azure Data Factory vs. Rivery

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