Azure Data Factory vs Jitterbit Harmony comparison

Microsoft and Jitterbit are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.0, while Jitterbit is ranked #35 with an average rating of 9.0. Microsoft holds a 11.3% mindshare in DI, compared to Jitterbit’s 0.3% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 100% of Jitterbit users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

24,287 Views
19,249 Comparison Views

91% willing to recommend

Jitterbit Harmony

Read 13 Jitterbit Harmony reviews

565 Views
480 Comparison Views

100% willing to recommend

Azure Data Factory

Jitterbit Harmony

Comparison Buyer's Guide

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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: October 2024).

Buyer's Guide

Azure Data Factory vs. Jitterbit Harmony

October 2024

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Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Jitterbit Harmony

Ranking in Data Integration

35th

Average Rating

8.6

Number of Reviews

Ranking in other categories

Workload Automation (21st), Cloud Data Integration (21st), Integration Platform as a Service (iPaaS) (13th)

Mindshare comparison

As of October 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.3%, 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

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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Mohamed Abd Kader

Head of Enterprise Architecture at Mantrac Group

Jun 27, 2023

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…

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Quotes from Members

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

Pros

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"It's extremely consistent."

"Powerful but easy-to-use and intuitive."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"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."

"I like the basic features like the data-based pipelines."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"I like that it's a monolithic data platform. This is why we propose these solutions."

More Azure Data Factory pros

"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."

"It is a scalable solution."

"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."

"Easy integration with Salesforce"

"Jitterbit handles the most lines of data in a .csv and loads the quickest of any data loader I have tried."

"It is very easy to build integrations and processes to pull and push data."

"It runs like an appliance and has tremendous throughput."

More Jitterbit Harmony pros

Cons

"Some known bugs and issues with Azure Data Factory could be rectified."

"When the record fails, it's tough to identify and log."

"Azure Data Factory's pricing in terms of utilization could be improved."

"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."

"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."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."

More Azure Data Factory cons

"Looping through complex data structures can be difficult."

"I know with Salesforce updating the UI like they did, it slowed it down a lot."

"I would like the ability to offer a dedicated cloud version for security."

"The initial setup can be a little bit difficult."

"Sometimes we experience disconnections and I have to close all Jitterbit programs."

"You need to have some development skills or hire a Jitterbit engineer to make changes."

"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."

"Its API management capabilities need improvement."

More Jitterbit Harmony cons

Pricing and Cost Advice

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"The pricing model is based on usage and is not cheap."

"ADF is cheaper compared to AWS."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"Data Factory is expensive."

"Product is priced at the market standard."

"I don't see a cost; it appears to be included in general support."

More Azure Data Factory pricing and cost advice

"Each business needs to determine if it is a mission critical aspect."

"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."

"The solution's cost is mid-ranged compared to other vendors."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Computer Software Company

19%

Financial Services Firm

13%

Healthcare Company

Manufacturing Company

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.

See all answers

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...

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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...

See all answers

What do you like most about Jitterbit Harmony Platform?

It is a scalable solution.

See all answers

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.

See all answers

What needs improvement with Jitterbit Harmony Platform?

The solution's API management capabilities need improvement.

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

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SnapLogic vs Jitterbit Harmony

Compared 30% of the time

MuleSoft Anypoint Platform vs Jitterbit Harmony

Compared 18% of the time

Microsoft Azure Logic Apps vs Jitterbit Harmony

Compared 18% of the time

TIBCO Scribe vs Jitterbit Harmony

Compared 14% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

October 2024

Download Azure Data Factory product report

Buyer's Guide

Data Integration

October 2024

Download Jitterbit Harmony product report

Also Known As

No data available

Jitterbit, Jitterbit Harmony

Learn More

Microsoft

Jitterbit

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.

Jitterbit Harmony is a comprehensive platform for data integration and API management, enabling seamless synchronization and automation across cloud-based and on-premises applications.

Users leverage Jitterbit Harmony to integrate systems like ERP and CRM applications, simplifying complex data workflows and enhancing automation. It supports efficient data migration and ensures smooth connectivity, handling diverse integration needs and helping streamline business processes. Users emphasize its drag-and-drop functionality and extensive templates, which contribute to its robust performance. However, improvements are needed in data mapping, error message clarity, and documentation, especially when dealing with large data volumes.

What are the key features of Jitterbit Harmony?

Easy Integration: Facilitates connecting various applications effortlessly.
Powerful Data Transformation: Offers tools for complex data workflows.
Seamless Connectivity: Supports efficient data migration between cloud and on-premises applications.
Drag-and-Drop Functionality: User-friendly interface for streamlined operations.
Extensive Pre-Built Templates: Provides numerous templates for quicker deployment.
Robust Performance: Ensures reliable operation even with complex tasks.
Flexible Data Format Handling: Manages different data types and formats efficiently.
Efficient API Management: Simplifies and maintains API requests and integrations.

What benefits should users look at when evaluating Jitterbit Harmony?

Scalability: Can grow with your business needs, handling more extensive operations seamlessly.
Automation: Improves business process automation, saving time and resources.
Data Synchronization: Ensures real-time data accuracy and flow between systems.
Support: Provides strong customer support to address integration challenges.

Companies across retail, manufacturing, healthcare, and finance sectors use Jitterbit Harmony to integrate critical applications and automate workflows. In retail, it connects inventory systems with sales platforms, reducing manual effort. Manufacturers sync their ERP systems with supply chain software, optimizing operations. Healthcare organizations integrate patient management systems with insurance databases, streamlining patient care. Financial institutions use it to connect accounting software with banking systems, ensuring real-time financial data exchange.

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

Buyer's Guide

Azure Data Factory vs. Jitterbit Harmony

October 2024

Free Report: Azure Data Factory vs. Jitterbit Harmony

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