Anonymous UserSenior Manager at a tech services company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"Powerful but easy-to-use and intuitive."
"It is a complete ETL Solution."
"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."
"It is easy to deploy workflows and schedule jobs."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The most valuable feature is real-time streaming."
"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."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"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."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The setup and configuration process could be simplified."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"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."
"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."
"This is an open-source product that can be used free of charge."
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
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.
Azure Data Factory is ranked 2nd in Data Integration Tools with 24 reviews while Spring Cloud Data Flow is ranked 19th in Data Integration Tools with 2 reviews. Azure Data Factory is rated 7.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and Palantir Foundry, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, TIBCO BusinessWorks, Mule Anypoint Platform and WSO2 Enterprise Integrator. See our Azure Data Factory vs. Spring Cloud Data Flow report.
See our list of best Data Integration Tools vendors.
We monitor all Data Integration Tools 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.