Azure Data Factory vs Spring Cloud Data Flow comparison

Azure Data Factory

Read 81 Azure Data Factory reviews

24,893 Views
19,539 Comparison Views

91% willing to recommend

Spring Cloud Data Flow

Read 5 Spring Cloud Data Flow reviews

2,276 Views
1,681 Comparison Views

100% willing to recommend

Azure Data Factory

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Spring Cloud Data Flow 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. Spring Cloud Data Flow Report (Updated: May 2024).

Buyer's Guide

Azure Data Factory vs. Spring Cloud Data Flow

May 2024

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Helped 787,226 peers since 2012

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)

Spring Cloud Data Flow

Ranking in Data Integration

27th

Average Rating

8.0

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Market share comparison

As of June 2024, in the Data Integration category, the market share of Azure Data Factory is 9.6% and it decreased by 29.4% compared to the previous year. The market share of Spring Cloud Data Flow is 1.1% and it increased by 25.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Unique Categories:

Cloud Data Warehouse

13.6%

Streaming Analytics

4.0%

Featured Reviews

Karthi Patchamuthu

Director of Business Intelligence Analytics at The Gibraltar Group - Insurance Services

Apr 5, 2023

Lots of features and easy data collection but needs more integrations

We primarily use the solution for data warehousing. I'm integrating data from multiple sources I have a team helping me out from India. It helps manage the data and collect everything from sources. The product has a lot of features. It makes it easy to collect data from different sources. The…

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Juzer Ali

Software engineer at Codinglama

Apr 4, 2023

Simple programming model, low maintenance, but interface could improve

Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications. When we are using Docker images as the applications, the UI does not work, or it is not clear how it works. In a feature release, it would be beneficial if there could be more supported languages. They only support Spring, Node.js, and Python.

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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

"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"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."

"The data copy template is a valuable feature."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"The most valuable feature of this solution would be ease of use."

"It is easy to deploy workflows and schedule jobs."

More Azure Data Factory pros

"The most valuable feature is real-time streaming."

"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."

"The product is very user-friendly."

"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

Cons

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"We require Azure Data Factory to be able to connect to Google Analytics."

"Data Factory's cost is too high."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

More Azure Data Factory cons

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The price you pay is determined by how much you use it."

"I would not say that this product is overly expensive."

"I would rate Data Factory's pricing nine out of ten."

"The solution's pricing is competitive."

"Data Factory is affordable."

"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."

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

More Azure Data Factory pricing and cost advice

"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."

"This is an open-source product that can be used free of charge."

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

29%

Computer Software Company

16%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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What needs improvement with Spring Cloud Data Flow?

On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required. The online discussion forum for the tool should include possible question...

See all answers

What is your primary use case for Spring Cloud Data Flow?

I used the solution for a payment platform we integrated with our organization. Our company had to use it since we had to integrate it with different payment platforms.

See all answers

What advice do you have for others considering Spring Cloud Data Flow?

Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Informatica Cloud Data Integration vs Azure Data Factory

Compared 9% of the time

Snowflake vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 8% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Apache Flink vs Spring Cloud Data Flow

Compared 25% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 10% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 9% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 8% of the time

Mule Anypoint Platform vs Spring Cloud Data Flow

Compared 6% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2024

Download Azure Data Factory product report

Buyer's Guide

Spring Cloud Data Flow

May 2024

Download Spring Cloud Data Flow product report

Learn More

Microsoft

VMware

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.

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

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

Information Not Available

Buyer's Guide

Azure Data Factory vs. Spring Cloud Data Flow

May 2024

Free Report: Azure Data Factory vs. Spring Cloud Data Flow

Find out what your peers are saying about Azure Data Factory vs. Spring Cloud Data Flow and other solutions. Updated: May 2024.

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