We performed a comparison between IBM InfoSphere Information Server and Pentaho Data Integration and Analytics 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."This solution is extremely flexible and scalable."
"Stability-wise, I rate the solution a ten out of ten."
"The integration with different technologies is the most valuable feature."
"IBM InfoSphere Information Server is stable."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"The fact that it enables us to leverage metadata to automate data pipeline templates and reuse them is definitely one of the features that we like the best. The metadata injection is helpful because it reduces the need to create and maintain additional ETLs. If we didn't have that feature, we would have lots of duplicated ETLs that we would have to create and maintain. The data pipeline templates have definitely been helpful when looking at productivity and costs."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"It's very simple compared to other products out there."
"We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule."
"It's my understanding that the product can scale."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"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."
"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."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"The product needs more plugins."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"If you develop it on MacBook, it'll be quite a hassle."
"One thing that I don't like, just a little, is the backward compatibility."
"I would like to see support for some additional cloud sources. It doesn't support Azure, for example. I was trying to do a PoC with Azure the other day but it seems they don't support it."
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IBM InfoSphere Information Server is ranked 36th in Data Integration with 7 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. IBM InfoSphere Information Server is rated 8.4, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of IBM InfoSphere Information Server writes "Prompt support, reliable, but lacking scalability". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". 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, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our IBM InfoSphere Information Server vs. Pentaho Data Integration and Analytics report.
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