Azure Data Factory vs Workato comparison

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26,170 views|20,469 comparisons
91% willing to recommend
Workato Logo
1,714 views|1,053 comparisons
100% willing to recommend
Comparison Buyer's Guide
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).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations.""We use the solution to move data from on-premises to the cloud.""Data Factory's most valuable feature is Copy Activity.""One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams.""The solution is okay.""The solution has a good interface and the integration with GitHub is very useful.""It makes it easy to collect data from different sources.""The most valuable feature is the copy activity."

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"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's easy to understand, makes flows and is efficient.""Stability-wise, I rate the solution a ten out of ten.""It is easier to use than other technical open-source technologies.""Workato is low code, intuitive, and easy to use.""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."

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Cons
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there.""Azure Data Factory uses many resources and has issues with parallel workflows.""Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features.""I would like to be informed about the changes ahead of time, so we are aware of what's coming.""The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others.""The Microsoft documentation is too complicated.""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.""Data Factory's cost is too high."

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"A limitation is that their cloud presence is only in North America and Europe.""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.""It is tedious to make a tailor-fit function.""I would like to see the dashboarding and reporting processes improved.""The management dashboard in the solution is an area with shortcomings that needs improvement.""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."

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Pricing and Cost Advice
  • "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."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "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."
  • "Workato is an expensive solution."
  • More Workato Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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 and… more »
    Top Answer: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… more »
    Top Answer:Workato is low code, intuitive, and easy to use.
    Top Answer: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… more »
    Top Answer: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 over… more »
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    Views
    1,714
    Comparisons
    1,053
    Reviews
    7
    Average Words per Review
    577
    Rating
    8.1
    Comparisons
    Learn More
    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.

    Start your 30-day free trial here.

    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
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization37%
    Computer Software Company12%
    Financial Services Firm7%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business56%
    Midsize Enterprise11%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise46%
    Large Enterprise41%
    Buyer's Guide
    Azure Data Factory vs. Workato
    May 2023
    Find out what your peers are saying about Azure Data Factory vs. Workato and other solutions. Updated: May 2023.
    768,578 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Workato is ranked 8th in Integration Platform as a Service (iPaaS) with 9 reviews. Azure Data Factory is rated 8.0, while Workato is rated 8.4. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Workato writes " Great automation and strong workflows useful for integration". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Workato is most compared with Microsoft Azure Logic Apps, MuleSoft Composer, Oracle Integration Cloud Service, Alteryx Designer and Fivetran. See our Azure Data Factory vs. Workato report.

    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.