Azure Data Factory vs Jitterbit Harmony comparison

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24,893 views|19,539 comparisons
91% willing to recommend
Jitterbit Logo
636 views|530 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 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. Jitterbit Harmony Report (Updated: May 2024).
787,033 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
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft.""The data copy template is a valuable feature.""Azure Data Factory became more user-friendly when data-flows were introduced.""Data Factory's most valuable feature is Copy Activity.""The most valuable feature of this solution would be ease of use.""The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows.""From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.""We have been using drivers to connect to various data sets and consume data."

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

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Cons
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""If the user interface was more user friendly and there was better error feedback, it would be helpful.""On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.""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.""Data Factory could be improved in terms of data transformations by adding more metadata extractions.""Some of the optimization techniques are not scalable.""It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

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"Looping through complex data structures can be difficult.""Sometimes additional connectors are needed.""In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations.""Sometimes we experience disconnections and I have to close all Jitterbit programs.""Its API management capabilities need improvement.""I would like the ability to offer a dedicated cloud version for security.""I know with Salesforce updating the UI like they did, it slowed it down a lot.""You need to have some development skills or hire a Jitterbit engineer to make changes."

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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 103 in Data Integration
    Views
    24,893
    Comparisons
    19,539
    Reviews
    45
    Average Words per Review
    507
    Rating
    8.0
    35th
    out of 103 in Data Integration
    Views
    636
    Comparisons
    530
    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 Enterprise69%
    REVIEWERS
    Small Business67%
    Midsize Enterprise25%
    Large Enterprise8%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise16%
    Large Enterprise56%
    Buyer's Guide
    Azure Data Factory vs. Jitterbit Harmony
    May 2024
    Find out what your peers are saying about Azure Data Factory vs. Jitterbit Harmony and other solutions. Updated: May 2024.
    787,033 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, Snowflake, Alteryx Designer and IBM InfoSphere DataStage, whereas Jitterbit Harmony is most compared with Microsoft Azure Logic Apps, Mule Anypoint Platform, MuleSoft Composer, SnapLogic and TIBCO Scribe. See our Azure Data Factory vs. Jitterbit Harmony report.

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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.