We performed a comparison between KNIME and Pentaho Business Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."It is a stable solution...It is a scalable solution."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"I was able to apply basic algorithms through just dragging and dropping."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"It has allowed us to easily implement advanced analytics into various processes."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"We can deploy the solution in a cluster as well."
"Pentaho is an analytics platform that can be used when an organization has a lot of big data storage systems already installed and needs to manage and analyze that data. It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it."
"The most valuable feature of Pentaho is the Tableau report."
"The initial setup is pretty straightforward."
"We were able to install it without any assistance from tech support."
"Pentaho Business Analytics' best features include the ease of developing data flows and the wide range of options to connect to databases, including those on the cloud."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"Easy to use components to create the job."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"The license is quite expensive for us."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"It could be easier to use."
"Compared to the other data tools on the market, the user interface can be improved."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"Another concern is that Pentaho is not customizable or interactive."
"Pentaho Business Analytics' user interface is outdated."
"Pentaho, at the general level, should greatly improve the easy construction of its dashboards and easy integration of information from different sources without technical user intervention."
"Logging capability is needed."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"The repository should be improved."
"Version control would be a good addition."
"Deployment is not simple. It is not simple because we are dealing with a lot of data; we are dealing with a lot of storage. So, it's not a simple process."
KNIME is ranked 1st in Data Mining with 50 reviews while Pentaho Business Analytics is ranked 19th in BI (Business Intelligence) Tools with 42 reviews. KNIME is rated 8.2, while Pentaho Business Analytics is rated 8.0. The top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". On the other hand, the top reviewer of Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Domino Data Science Platform, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Databricks, SAP Crystal Reports, Microsoft SQL Server Reporting Services and Tableau.
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