We performed a comparison between IBM App Connect and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I would say that the most valuable feature is the array of connectors and integration tools."
"We use IBM App Connect for the integration between the applications."
"App Connect's best feature is that it can be deployed in a container."
"Technical support is good."
"Very scalable, flexible, and user-friendly."
"The most valuable feature is the user-friendliness of the application."
"When using IBM stacks, IBM App Connect is suitable and integrates well with other IBM products like WebSphere."
"It's a powerful application for collaboration. It has many features for customization and integration."
"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."
"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."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"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 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 area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."
"More connectors could be available for the product as some of the third-party software doesn't have default connectors."
"IBM needs to enhance and have a stronger offering for the event streaming part because this is the future needed for the containerization and the new integration requirement."
"IBM App Connect should improve security features."
"Updates are constantly delayed."
"The product should improve its support."
"The installation of containers could be simplified, as it currently requires a senior-level installer."
"The setup time for App Connect could be improved."
"The addition of string functionality would be a benefit, particularly in the ESQL space that IBM already uses internally."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"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."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"I would like to see improvements made for real-time data processing."
"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."
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IBM App Connect is ranked 11th in Cloud Data Integration with 20 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. IBM App Connect is rated 8.2, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of IBM App Connect writes "Very flexible and user-friendly; embeds with other technologies; no dependency on queue manager". 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 App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and TIBCO BusinessWorks, whereas Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our IBM App Connect vs. Pentaho Data Integration and Analytics report.
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