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Azure Data Factory vs Workato comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Number of Reviews
86
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Workato
Average Rating
8.4
Number of Reviews
9
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 11.1%, down 13.3% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.0% mindshare, down 5.0% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

Featured Reviews

Camilo Velasco - PeerSpot reviewer
Oct 27, 2022
No deployment cost, quick implementation, pay only for the processing time and data
The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…
Rohit Sircar - PeerSpot reviewer
Nov 7, 2022
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.

Quotes from Members

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

Pros

"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."
"I can do everything I want with SSIS and Azure Data Factory."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"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 became more user-friendly when data-flows were introduced."
"The flexibility that Azure Data Factory offers is great."
"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."
"Workato is low code, intuitive, and easy to use."
"It's easy to understand, makes flows and is efficient."
"It is easier to use than other technical open-source technologies."
"Their automation and workflows are very strong, and you can build the workflows very easily and quickly."
"Stability-wise, I rate the solution a ten out of ten."
"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."
 

Cons

"The setup and configuration process could be simplified."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The product integration with advanced coding options could cater to users needing more customization."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Data Factory's performance during heavy data processing isn't great."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The management dashboard in the solution is an area with shortcomings that needs improvement."
"It is tedious to make a tailor-fit function."
"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."
"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."
"I would like to see the dashboarding and reporting processes improved."
"A limitation is that their cloud presence is only in North America and Europe."
"From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems."
 

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The pricing model is based on usage and is not cheap."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"The licensing cost is included in the Synapse."
"I would not say that this product is overly expensive."
"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."
"This is a cost-effective solution."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
41%
Computer Software Company
10%
Financial Services Firm
7%
Manufacturing Company
5%
 

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...
 

Learn More

 

Overview

 

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
Find out what your peers are saying about Azure Data Factory vs. Workato and other solutions. Updated: May 2023.
814,763 professionals have used our research since 2012.