Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs Jitterbit Harmony comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 24, 2024
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (3rd)
Jitterbit Harmony
Ranking in Data Integration
33rd
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
13
Ranking in other categories
Workload Automation (20th), Cloud Data Integration (20th), Integration Platform as a Service (iPaaS) (13th)
 

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of Jitterbit Harmony is 0.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

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.
Mohamed Abd Kader - PeerSpot reviewer
An easy-to-setup solution with good stability
We use Jitterbit to connect cloud solutions with our on-premises ERP system We connect cloud solutions to our on-premise ERP system easily using Jitterbit. It is its most valuable feature.  The solution's API management capabilities need improvement. We have been using the solution for almost…

Quotes from Members

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

Pros

"It is easy to integrate."
"The trigger scheduling options are decently robust."
"I like the basic features like the data-based pipelines."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The security of the agent that is installed on-premises is very good."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"It is a scalable solution."
"Easy integration with Salesforce"
"We only use small parts of the solution, however, the parts that we use are quite adequate."
"The Cloud Console for monitoring and troubleshooting data operations."
"It is very easy to build integrations and processes to pull and push data."
"Jitterbit provides the ability to quickly map data between files and databases."
"Jitterbit handles the most lines of data in a .csv and loads the quickest of any data loader I have tried."
"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."
 

Cons

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"We require Azure Data Factory to be able to connect to Google Analytics."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The Microsoft documentation is too complicated."
"Data Factory's monitorability could be better."
"The support and the documentation can be improved."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Its API management capabilities need improvement."
"You need to have some development skills or hire a Jitterbit engineer to make changes."
"Looping through complex data structures can be difficult."
"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."
"Sometimes we experience disconnections and I have to close all Jitterbit programs."
"The initial setup can be a little bit difficult."
"In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations."
"I would like the ability to offer a dedicated cloud version for security."
 

Pricing and Cost Advice

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."
"I don't see a cost; it appears to be included in general support."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"Pricing appears to be reasonable in my opinion."
"Understanding the pricing model for Data Factory is quite complex."
"Product is priced at the market standard."
"The price is fair."
"Each business needs to determine if it is a mission critical aspect."
"The solution's cost is mid-ranged compared to other vendors."
"The Jitterbit price is based upon endpoints. They also offer ERP connectors with their Enterprise edition"
"I do believe Jitterbit has one of the better pricing and licensing options out there compared to its competitors."
"The added bonus is that Jitterbit doesn't charge for any data volume/traffic."
"Jitterbit was extremely cost effective for us compared to other options."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
824,053 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
19%
Financial Services Firm
14%
Manufacturing Company
9%
Healthcare Company
8%
 

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 is your experience regarding pricing and costs for Jitterbit Harmony Platform?
The solution's cost is mid-ranged compared to other vendors. I rate its pricing a six out of ten.
What needs improvement with Jitterbit Harmony Platform?
The solution's API management capabilities need improvement.
 

Also Known As

No data available
Jitterbit, Jitterbit Harmony
 

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
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
Find out what your peers are saying about Azure Data Factory vs. Jitterbit Harmony and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.