Azure Data Factory vs Integrate.io Platform comparison

Why PeerSpot?

Microsoft and Integrate.io are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while Integrate.io is ranked #39 with an average rating of 8.7. Microsoft holds a 2.2% mindshare in DI, compared to Integrate.io’s 0.6% 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 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

Integrate.io Platform

Read 3 Integrate.io Platform reviews

1,734 Views
1,405 Comparison Views

100% willing to recommend

Azure Data Factory

Integrate.io Platform

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and Integrate.io Platform 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. Integrate.io Platform Report (Updated: September 2026).

Buyer's Guide

Azure Data Factory vs. Integrate.io Platform

September 2026

Download the complete report

Helped 913,806 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

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

Integrate.io Platform

Ranking in Data Integration

39th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Observability (6th)

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% compared to the previous year. The mindshare of Integrate.io Platform is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Integrate.io Platform	0.6%
Other	97.2%

Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

Read full review

Rembrand Pardo

Founder at Rembrand Pardo Consulting

Streamlines daily data workflows and has improved reliability for complex business integrations

One area where Integrate.io Platform could improve is around visibility and debugging. While the logging is helpful, it can sometimes take time to trace issues across multiple steps in a pipeline, especially when flows become complex. A more streamlined way to track data through each stage or clearer error messaging would make troubleshooting faster and more intuitive. Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds. Having more advanced customization options without sacrificing the ease of use would be a big plus, in my opinion. Documentation clarity around existing pipelines was also something I felt could be better supported. Since integrations tend to evolve over time, having strong built-in documentation features or easier ways to understand dependencies between jobs would have helped, especially when onboarding someone new. I only stayed with this client for six months, so we needed to bring or train their team members to do this. Revisiting flows after a while would have been nice. The last thing would be performance transparency could be improved. Jobs generally run reliably, but having clearer insights into performance, such as bottlenecks, processing time per step, or optimizing suggestions would make it easier to fine-tune workflows as data volume grows. Part of my job, and what the client in this case wanted, was to scale in the future without having to change to another tool, so that would help a lot. I would say the platform is solid, but these kinds of improvements that I mentioned would make it even more efficient to manage at scale and over time.

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

"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."

"Azure Data Factory is a good tool."

"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 most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."

"Azure Data Factory is easy to use and integrates well, providing good classification to bring data from diverse parts of the data infrastructure, whether from CSV files coming from the Cisco server, MySQL, Excel machines, or local network data from remote files."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"Azure Data Factory is great because it's a cloud service; you do not have to take care of the installation and configuration yourself."

More Azure Data Factory pros

"I think the platform helped them move forward towards a more streamlined, reliable, and scalable way of handling their data operations."

"Integrate.io Platform has positively impacted my organization by reducing a lot of our workloads because we can make this replication faster and connect it with other connectors, and it also gives us this GPU that allows us to work faster."

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

Cons

"The product's technical support has certain shortcomings, making it an area where improvements are required."

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"They should work on optimizing their licensing model and pricing structure."

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

"The pricing model should be more transparent and available online."

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

"Some of the optimization techniques are not scalable."

"The Microsoft documentation is too complicated."

More Azure Data Factory cons

"Another improvement would be flexibility in handling edge cases. For standard transformations, it works well, but when business logic gets more complex, it can feel a bit limited without introducing workarounds."

"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 solution's pricing is competitive."

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

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

"The cost is based on the amount of data sets that we are ingesting."

"The pricing model is based on usage and is not cheap."

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

"Product is priced at the market standard."

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

More Azure Data Factory pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

913,806 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Comms Service Provider

16%

Construction Company

12%

Outsourcing Company

11%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

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...

See all answers

What needs improvement with Integrate.io Platform?

I think Integrate.io Platform can be improved if there is a connector with all the cloud providers, mostly AWS or maybe GCP, to allow us to have this replication duplicated in our AWS infrastructur...

See all answers

What is your primary use case for Integrate.io Platform?

My main use case for Integrate.io Platform is for database replications because it has a latency around 60 seconds. I use Integrate.io Platform mainly to integrate machine learning initiatives that...

See all answers

What advice do you have for others considering Integrate.io Platform?

I would rate Integrate.io Platform a 10 out of 10. I chose this rating because I appreciate the latency and the fast replication that we have; our clients here want all the things fast, and they do...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

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

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

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

Compared 10% of the time

SSIS vs Integrate.io Platform

Compared 10% of the time

Estuary vs Integrate.io Platform

Compared 9% of the time

Airbyte Cloud vs Integrate.io Platform

Compared 8% of the time

SharePlex vs Integrate.io Platform

Compared 7% of the time

More Integrate.io Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

Integrate.io Platform

September 2026

Download Integrate.io Platform product report

Also Known As

No data available

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

Integrate.io Platform is designed to streamline data processing by offering comprehensive tools for ETL, ELT, and reverse ETL, empowering data teams to efficiently manage and optimize data workflows.

Integrate.io stands out by enabling seamless data integration through a scalable infrastructure that supports a wide range of data processing tasks. Tailored for data engineers and analysts, it simplifies data transformation and enrichment, facilitating a smoother transition of data flows between systems. This robust platform supports secure connections to services and databases, ensuring data integrity and performance across operations.

What are the key features of Integrate.io Platform?

ETL and ELT Capability: Offers tools for Extract, Transform, Load processes, enhancing data movement and transformation.
Reverse ETL: Facilitates efficient data movement back into operational tools, supporting better insights and decisions.
Scalability: Designed to handle increasing data volumes for growing needs.
Integration: Seamlessly connects to a variety of sources and destinations, boosting data accessibility.
Security: Implements robust protocols to protect data exchanges and storage.

What benefits or ROI should you look for in the Integrate.io Platform reviews?

Improved Efficiency: Streamlines data workflows, reducing manual intervention and saving time.
Cost-Effectiveness: Offers a flexible pricing model that matches usage with budget control.
Enhanced Data Accuracy: Ensures reliable data transformations, minimizing errors across processes.
Faster Time to Insight: Accelerates the data preparation and processing stages, leading to quicker analytics.
Scalable Architecture: Supports business growth by accommodating larger data loads without losing performance.

Integrate.io is implemented across industries like e-commerce for customer data integration and analytics, finance for transaction processing and reporting, and healthcare for secure handling and analyzing patient data. Each deployment adjusts to meet specific industry standards and practices, ensuring compliance and efficiency.

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

Buyer's Guide

Azure Data Factory vs. Integrate.io Platform

September 2026

Free Report: Azure Data Factory vs. Integrate.io Platform

Find out what your peers are saying about Azure Data Factory vs. Integrate.io Platform and other solutions. Updated: September 2026.

DOWNLOAD NOW

913,806 professionals have used our research since 2012.

See our Azure Data Factory vs. Integrate.io Platform report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.