Azure Data Factory vs Jitterbit Harmony comparison

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Executive Summary

We performed a comparison between Azure Data Factory and Jitterbit Harmony based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: March 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Powerful but easy-to-use and intuitive.""When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""The best part of this product is the extraction, transformation, and load.""Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution.""The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""The scalability of the product is impressive.""Data Factory's most valuable feature is Copy Activity."

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"Jitterbit provides the ability to quickly map data between files and databases.""It runs like an appliance and has tremendous throughput.""It is very easy to build integrations and processes to pull and push data.""The fluid user interface (probably the most user friendly interface, when compared to its competitors).""The Cloud Console for monitoring and troubleshooting data operations.""Easy integration with Salesforce""We only use small parts of the solution, however, the parts that we use are quite adequate.""Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."

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Cons
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on.""The pricing scheme is very complex and difficult to understand.""The Microsoft documentation is too complicated.""There are limitations when processing more than one GD file.""Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail.""Lacks in-built streaming data processing.""Data Factory's cost is too high."

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"Its API management capabilities need improvement.""Looping through complex data structures can be difficult.""You need to have some development skills or hire a Jitterbit engineer to make changes.""Sometimes we experience disconnections and I have to close all Jitterbit programs.""There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data.""I know with Salesforce updating the UI like they did, it slowed it down a lot.""Sometimes additional connectors are needed.""The initial setup can be a little bit difficult."

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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 →

  • "Each business needs to determine if it is a mission critical aspect."
  • "The added bonus is that Jitterbit doesn't charge for any data volume/traffic."
  • "I do believe Jitterbit has one of the better pricing and licensing options out there compared to its competitors."
  • "Jitterbit was extremely cost effective for us compared to other options."
  • "The Jitterbit price is based upon endpoints. They also offer ERP connectors with their Enterprise edition"
  • "The solution's cost is mid-ranged compared to other vendors."
  • More Jitterbit Harmony 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:The solution's cost is mid-ranged compared to other vendors. I rate its pricing a six out of ten.
    Top Answer:The solution's API management capabilities need improvement.
    Ranking
    1st
    out of 94 in Data Integration
    Views
    26,364
    Comparisons
    20,689
    Reviews
    40
    Average Words per Review
    495
    Rating
    8.0
    33rd
    out of 94 in Data Integration
    Views
    646
    Comparisons
    554
    Reviews
    1
    Average Words per Review
    234
    Rating
    9.0
    Comparisons
    Also Known As
    Jitterbit, Jitterbit Harmony
    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.

    Open source integration platform designed to handle the most complex integration challenges between legacy, enterprise and On-Demand applications. 

    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
    LA Metro, Mophie, Club Auto, University of Miami, Exostar, Dialog Direct, Avero, Greenpoint Technologies, Berklee Online, Odyssey, KeyedIn Solutions, Swish Maintenance, SPP Pumps Limited, Talent Plus, Ricoh Canada, Televerde, Reed Construction Data, Sika US, Sunkist Growers
    Top Industries
    REVIEWERS
    Computer Software Company35%
    Insurance Company12%
    Financial Services Firm8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm9%
    Healthcare Company9%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business67%
    Midsize Enterprise25%
    Large Enterprise8%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise15%
    Large Enterprise58%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 79 reviews while Jitterbit Harmony is ranked 33rd in Data Integration with 13 reviews. Azure Data Factory is rated 8.0, while Jitterbit Harmony is rated 8.6. 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 Jitterbit Harmony writes "An easy-to-setup solution with good stability ". Azure Data Factory is most compared with Informatica PowerCenter, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and Microsoft Azure Synapse Analytics, whereas Jitterbit Harmony is most compared with MuleSoft Composer, Mule Anypoint Platform, Microsoft Azure Logic Apps, Boomi AtomSphere Integration and TIBCO Scribe.

    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.