Azure Data Factory vs Workato comparison

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Azure Data Factory

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Executive Summary

We performed a comparison between Azure Data Factory and Workato 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. Workato Report (Updated: May 2023).

Azure Data Factory vs. Workato

May 2023

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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

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

Workato

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

Azure Data Factory and Workato aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 10.8%, down 13.4% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 3.8% mindshare, down 4.7% since last year.

Data Integration

Integration Platform as a Service (iPaaS)

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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Rohit Sircar

Integration Solutions Lead | Digital Core Transformation Service Line at Hexaware Technologies Limited

Great automation and strong workflows useful for integration

The initial setup is quite straightforward. When connecting Workato with your on-premises system, you have to install the Workato agent on your network. It was not complex but a long process to configure and settle. Workato has not gone live for us yet, so only the developers are currently using it. But in terms of users, we will have close to 250 and maybe 30 additional direct users. We are seeing a lot of different use cases where we can add new recipes because we started small, and there are many different areas where we can implement Workato for automation.

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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 feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"Azure Data Factory is a low code, no code platform, which is helpful."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"It is easy to integrate."

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

"The most valuable feature is the copy activity."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

More Azure Data Factory pros

"It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product."

"Stability-wise, I rate the solution a ten out of ten."

"Their automation and workflows are very strong, and you can build the workflows very easily and quickly."

"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."

"It is easier to use than other technical open-source technologies."

"It's easy to understand, makes flows and is efficient."

"Workato is low code, intuitive, and easy to use."

Cons

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"Lacks in-built streaming data processing."

"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."

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

"The product could provide more ways to import and export data."

"The Microsoft documentation is too complicated."

"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."

"The speed and performance need to be improved."

More Azure Data Factory cons

"It is tedious to make a tailor-fit function."

"I would like to see the dashboarding and reporting processes improved."

"The only minor drawback would be if there was a UI at the front of it, for apps and for a portal as well, it would make it really easy. It would be really useful if there were more apps capabilities."

"A limitation is that their cloud presence is only in North America and Europe."

"Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations."

"From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems."

"The management dashboard in the solution is an area with shortcomings that needs improvement."

Pricing and Cost Advice

"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."

"I would rate Data Factory's pricing nine out of ten."

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

"The price is fair."

"The pricing is a bit on the higher end."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"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."

More Azure Data Factory pricing and cost advice

"Workato is an expensive solution."

"On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."

"Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Educational Organization

43%

Computer Software Company

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

What do you like most about Workato?

Workato is low code, intuitive, and easy to use.

What needs improvement with Workato?

Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations. Workato's licensing model is a bit co...

What is your primary use case for Workato?

We use Workato for iPaaS, which is like a middleware enterprise service bus. We use it for transformation, quick data migrations from one platform to another, and building connectivity. It's got ov...

Informatica PowerCenter vs Azure Data Factory

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Product Reports

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Azure Data Factory

January 2025

Download Workato product report

December 2024

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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.

Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.

The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.

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

Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute