We performed a comparison between Azure Data Factory and IBM InfoSphere Information Server 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."The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"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."
"It is easy to deploy workflows and schedule jobs."
"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."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The integration with different technologies is the most valuable feature."
"Stability-wise, I rate the solution a ten out of ten."
"IBM InfoSphere Information Server is stable."
"This solution is extremely flexible and scalable."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"It would be better if it had machine learning capabilities."
"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."
"The Microsoft documentation is too complicated."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"The solution needs to be more connectable to its own services."
"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"Their technical support needs improvement."
"This solution would benefit from the engine being made more lightweight."
More IBM InfoSphere Information Server Pricing and Cost Advice →
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while IBM InfoSphere Information Server is ranked 36th in Data Integration with 7 reviews. Azure Data Factory is rated 8.0, while IBM InfoSphere Information Server is rated 8.4. 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 IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas IBM InfoSphere Information Server is most compared with IBM InfoSphere DataStage, Qlik Replicate, IBM Watson Knowledge Catalog, IBM Cloud Pak for Data and Oracle GoldenGate. See our Azure Data Factory vs. IBM InfoSphere Information Server report.
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