We performed a comparison between Azure Data Factory and TIBCO BusinessWorks 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."I can do everything I want with SSIS and Azure Data Factory."
"An excellent tool for pipeline orchestration."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"Data Factory's most valuable feature is Copy Activity."
"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."
"From what we have seen so far, the solution seems very stable."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"We use the solution to develop applications."
"One of the most valuable features is data transformation. We have some legacy systems which are in old technology, like SOAP, whereas the new ones are in REST. So we use BusinessWorks to transform data from one format to another, from SOAP to REST."
"BusinessWorks reduces development time, helping developers to focus on business logic."
"Good performance and reliability."
"One of the most valuable features is that it's a simple development. It takes a short time to get services to work."
"The most valuable features are the stability and the time to market."
"Stability-wise, I rate the solution a ten out of ten…On a scale from one to ten, where one is difficult, and ten is easy, I rate the initial setup a nine."
"It is a very robust system."
"There aren't many third-party extensions or plugins available in the solution."
"The speed and performance need to be improved."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Data Factory's cost is too high."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"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 tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The cost of the solution has room for improvement."
"This solution's cloud could be improved. I don't know whether it was because we didn't have the internal expertise or if it was the product itself, but since they came later—I think only two or three years into the cloud—after many other iPaaS that had been in the cloud for longer, I feel that maybe they haven't matured in terms of the cloud."
"Scaling with the solution is costly because if we need to scale up, we have to buy more memory. That means more money. Solutions like Camel or Pulsar come with built-in options to scale horizontally, vertically, region-wide or country-wide."
"I'd like to see a new cloud approach in the next release. They need to work on integrations, stability and management issues on their cloud platform."
"Though it is a stable product, if we have an issue with the product, it gets difficult, and it gets really difficult to explain the issue to the support team. Also, it takes a long time to get resolved."
"There is room for improvement on the learning side."
"The initial setup is not easy."
"The technical support's turnaround time is an area where TIBCO needs to consider improvements...Getting support from TIBCO on a particular issue takes a lot of turnaround time."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while TIBCO BusinessWorks is ranked 18th in Data Integration with 23 reviews. Azure Data Factory is rated 8.0, while TIBCO BusinessWorks is rated 8.0. 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 TIBCO BusinessWorks writes "Reliable integration solution with robust communication capabilities and good scalability". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas TIBCO BusinessWorks is most compared with webMethods Integration Server, Mule Anypoint Platform, Spring Cloud Data Flow, Talend Open Studio and iWay Service Manager. See our Azure Data Factory vs. TIBCO BusinessWorks report.
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