Azure Data Factory vs Dataloader.io comparison

Microsoft and Salesforce are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Salesforce is ranked #44 with an average rating of 7.5. Microsoft holds a 7.4% mindshare in DI, compared to Salesforce’s 0.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Salesforce users who would recommend it.

Azure Data Factory

Read 91 Azure Data Factory reviews

15,713 Views
10,999 Comparison Views

92% willing to recommend

Dataloader.io

Read 2 Dataloader.io reviews

325 Views
189 Comparison Views

100% willing to recommend

Azure Data Factory

Dataloader.io

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Dataloader.io 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. Dataloader.io Report (Updated: July 2025).

Buyer's Guide

Azure Data Factory vs. Dataloader.io

July 2025

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Helped 865,384 peers since 2012

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

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Dataloader.io

Ranking in Data Integration

44th

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.4%, down from 11.9% compared to the previous year. The mindshare of Dataloader.io 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

Sr. Technical Architect at Hexaware Technologies Limited

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.

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Aditi Bhardwaj

Senior Data Scientist at Peristent Systems

Provides an ease of access and an automated mapping feature

We need help with large data migrations. It only works well for a few thousand records or less than a million records. Above that, we need to look for alternative solutions. They could provide automated transformation or mapping features around 10 to 15 independent data objects. We could have a default mark or limit of free usage for standard objects. It will be helpful. Additionally, we can have more integrations with large data volumes as we need a lot of exercises to handle the files in case of complex sites.

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

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."

"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."

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

"The function of the solution is great."

"The solution can scale very easily."

"An excellent tool for pipeline orchestration."

"The solution has a good interface and the integration with GitHub is very useful."

"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

More Azure Data Factory pros

"he product’s most valuable feature is ease of access."

"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."

"DataLoader is cost-effective since it is free."

Cons

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"Data Factory's performance during heavy data processing isn't great."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."

"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."

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"It would be better if it had machine learning capabilities."

"The user interface could use improvement. It's not a major issue but it's something that can be improved."

More Azure Data Factory cons

"DataLoader has limitations, including constraints with file sizes and transactions."

"We need help with large data migrations. It only works well for a few thousand records or less than a million records."

"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."

Pricing and Cost Advice

"This is a cost-effective solution."

"Pricing is comparable, it's somewhere in the middle."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"Pricing appears to be reasonable in my opinion."

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

"The licensing cost is included in the Synapse."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

More Azure Data Factory pricing and cost advice

"The product is inexpensive and economical."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Government

No data available

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.

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 do you like most about Dataloader.io?

he product’s most valuable feature is ease of access.

See all answers

What is your experience regarding pricing and costs for Dataloader.io?

Dataloader.io is cost-effective, particularly since it is free.

See all answers

What needs improvement with Dataloader.io?

DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 9% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 7% of the time

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

Compared 5% of the time

Alteryx Designer vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Talend Data Management Platform vs Dataloader.io

Compared 61% of the time

Jitterbit Harmony vs Dataloader.io

Compared 39% of the time

More Dataloader.io Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

August 2025

Download Dataloader.io 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

Dataloader.io is the data loader for Salesforce. Use the most popular data loader for Salesforce to quickly and securely import, export and delete unlimited amounts of data for your enterprise. Get started quickly with our simple, 100% cloud solution.

Salesforce

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

UCSF, Box, CareFusion, Unilever, Hershey's

Buyer's Guide

Azure Data Factory vs. Dataloader.io

July 2025

Free Report: Azure Data Factory vs. Dataloader.io

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