Azure Data Factory vs Jitterbit Harmony comparison

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26,170 views|20,469 comparisons
91% willing to recommend
Jitterbit Logo
661 views|555 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
768,857 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
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily.""Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process.""One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect.""It is beneficial that the solution is written with Spark as the back end.""The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable.""The most valuable feature is the copy activity.""UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages.""ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

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

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Cons
"It can improve from the perspective of active logging. It can provide active logging information.""The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others.""This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations.""You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats.""Real-time replication is required, and this is not a simple task.""Data Factory could be improved in terms of data transformations by adding more metadata extractions.""There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run.""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."

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"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.""Sometimes additional connectors are needed.""I would like the ability to offer a dedicated cloud version for security.""In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations.""Looping through complex data structures can be difficult.""I know with Salesforce updating the UI like they did, it slowed it down a lot.""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 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    35th
    out of 100 in Data Integration
    Views
    661
    Comparisons
    555
    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 Company34%
    Insurance Company11%
    Financial Services Firm8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Healthcare Company10%
    Financial Services Firm9%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business67%
    Midsize Enterprise25%
    Large Enterprise8%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise16%
    Large Enterprise57%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Jitterbit Harmony is ranked 35th 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, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Jitterbit Harmony is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Mule Anypoint Platform, SnapLogic and TIBCO Scribe.

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    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.