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Azure Data Factory vs Workato comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Customer Service

No sentiment score available
Sentiment score
9.0
Workato's customer support is highly rated for its professional service, real-time chat, and consistently high technical support ratings.
 

Room For Improvement

No sentiment score available
Sentiment score
3.4
Workato needs updates for improved API management, app capabilities, EDI, cloud presence, low-code customization, ETL, licensing, and stability.
 

Scalability Issues

No sentiment score available
Sentiment score
6.8
Workato is scalable, supports various licenses, integrates with many apps, and benefits medium to enterprise-level users with minimal maintenance.
 

Setup Cost

No sentiment score available
No sentiment score available
Workato's pricing starts at 50K per year, with additional costs for add-ons, advanced features, and varying licensing options.
 

Stability Issues

No sentiment score available
No sentiment score available
Users praise Workato's performance and stability, built on AWS, despite occasional downtimes, with high ratings between 7-10.
 

Valuable Features

No sentiment score available
Sentiment score
8.5
Workato is a user-friendly, low-code platform with pre-built connectors and drag-and-drop automation, ideal for non-technical users.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
86
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Workato
Average Rating
8.4
Reviews Sentiment
7.0
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

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.
Rohit Sircar - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
41%
Computer Software Company
9%
Financial Services Firm
8%
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.
816,406 professionals have used our research since 2012.