Azure Data Factory vs Integrate.io Platform comparison

Microsoft and Integrate.io are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while Integrate.io is ranked #70. Microsoft holds a 2.8% mindshare in DI, compared to Integrate.io’s 0.5% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Integrate.io users who would recommend it.

Azure Data Factory

Read 94 Azure Data Factory reviews

10,752 Views
7,526 Comparison Views

92% willing to recommend

Integrate.io Platform

Read 1 Integrate.io Platform review

628 Views
559 Comparison Views

100% willing to recommend

Azure Data Factory

Integrate.io Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Integrate.io Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: February 2026).

Buyer's Guide

Data Integration

February 2026

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Helped 884,873 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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Integrate.io Platform

Ranking in Data Integration

70th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Data Observability (19th)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.8%, down from 9.7% compared to the previous year. The mindshare of Integrate.io Platform is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
Integrate.io Platform	0.5%
Other	96.7%

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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Pranab Gambhir

Technical Consultant at a recreational facilities/services company with 11-50 employees

No-code pipelines have accelerated sales data sync and now support faster team onboarding

Integrate.io Platform has helped simplify my data pipelines, as it is really good with Salesforce sync. This has been our main feature that we have consistently used, and it has really reduced our time in terms of syncing our database with Salesforce, which used to take a lot of time. The best features Integrate.io Platform offers include the no-code, low-code feature, which has been really good for us, especially for new developers to come in and get started. Additionally, the rich connectors that the platform has are very important because sometimes connections may not be compatible with others. The CDC, real-time under 60-second database replication, has also helped us a lot. No-code, low-code has had the biggest impact for my team. This has reduced the training part considerably. We don't have to do a lot of training, and not just senior developers, but junior developers can also contribute.

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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 most important feature is that it can help you do the multi-threading concepts."

"The trigger scheduling options are decently robust."

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

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

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

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"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."

"The flexibility that Azure Data Factory offers is great."

More Azure Data Factory pros

"Integrate.io Platform has helped simplify my data pipelines, as it is really good with Salesforce sync."

Cons

"There are performance issues, particularly with the underlying compute, which should be configurable."

"The product integration with advanced coding options could cater to users needing more customization."

"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."

"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."

"The deployment should be easier."

"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 is no built-in pipeline exit activity when encountering an error."

"We have experienced some issues with the integration. This is an area that needs improvement."

More Azure Data Factory cons

"Customer support could be better. We often get replies that are delayed, and sometimes there is a lot of back and forth."

Pricing and Cost Advice

"The price you pay is determined by how much you use it."

"Data Factory is affordable."

"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."

"ADF is cheaper compared to AWS."

"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 pricing is a bit on the higher end."

"The solution is cheap."

"Data Factory is expensive."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

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...

See all answers

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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Comparisons

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 5% of the time

FME vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Estuary vs Integrate.io Platform

Compared 19% of the time

SharePlex vs Integrate.io Platform

Compared 16% of the time

Airbyte Cloud vs Integrate.io Platform

Compared 15% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Integrate.io Platform

Compared 12% of the time

Qlik Replicate vs Integrate.io Platform

Compared 11% of the time

More Integrate.io Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

March 2026

Download Azure Data Factory product report

Buyer's Guide

Data Integration

February 2026

Download Integrate.io Platform product report

Also Known As

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DRIVEN APM, Xplenty

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

Get Data Peace of Mind

Set & forget your alerts and receive notifications for any data problems.

Focus On Your Data

Spend time driving business value from your data, not worrying about your data quality and datasets.

Enjoy Company-Wide Data Credibility

Nothing damages employees’ trust in your data like upstream data issues & inaccuracies. Instantly know about any data issues so you can resolve them before they become a downstream problem.

Align Upstream Data Owners

Many data issues are caused by changes that happen upstream (e.g. in the business applications). Get business owners data alerts to know when to fix their data.

Integrate.io

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

GAP, Samsung, REA Group, TellApart, Pintrest, Expedia, CapitalOne, Oportun, Hotels.com, HomeAway, CommonwealthBank, D&B, DeerWalk

Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration. Updated: February 2026.

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