We performed a comparison between Pentaho Data Integration and Analytics and WhereScape RED 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."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."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"The amount of data that it loads and processes is good."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."
"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."
"Provides a good open source option."
"It's my understanding that the product can scale."
"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."
"Data transformations and rollups are easy to accomplish."
"Support is absolutely excellent, efficient, and timely."
"Naturally produces a way to easily debug your DW data solutions."
"The most valuable feature is the metadata generated code."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"The tool supports multiple target update methods."
"Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"I would like to see improvements made for real-time data processing."
"One thing that I don't like, just a little, is the backward compatibility."
"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."
"The product needs more plugins."
"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."
"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."
"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."
"Improve the object renaming ability (it works, but it could be more automated)."
"No support for change data capture or delta detection - that must be custom coded ."
"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."
"Technical support isn't the best."
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Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews while WhereScape RED is ranked 48th in Data Integration. Pentaho Data Integration and Analytics is rated 8.0, while WhereScape RED is rated 8.2. The top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue, whereas WhereScape RED is most compared with Azure Data Factory, Informatica PowerCenter, SSIS, Matillion ETL and Denodo. See our Pentaho Data Integration and Analytics vs. WhereScape RED report.
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