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."The integration with different technologies is the most valuable feature."
"IBM InfoSphere Information Server is stable."
"Stability-wise, I rate the solution a ten out of ten."
"This solution is extremely flexible and scalable."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"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."
"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."
"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 can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"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."
"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."
"If you develop it on MacBook, it'll be quite a hassle."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."
"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"I would like to see improvements made for real-time data processing."
More IBM InfoSphere Information Server Pricing and Cost Advice →
More Pentaho Data Integration and Analytics Pricing and Cost Advice →
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.
See our list of best Data Integration vendors.
We monitor all Data Integration 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.
