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."Overall KNIME serves its purpose and does a good job."
"Since KNIME is a no-code platform, it is easy to work with."
"The solution is very easy to use"
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"This solution is easy to use and especially good at data preparation and wrapping."
"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."
"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."
"Easy to use components to create the job."
"The most valuable feature of Pentaho is the Tableau report."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"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."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"The license is quite expensive for us."
"I would prefer to have more connectivity."
"KNIME's documentation is not strong."
"It could be easier to use."
"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."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"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."
"The repository should be improved."
"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."
"Logging capability is needed."
"Pentaho Business Analytics' user interface is outdated."
"Version control would be a good addition."
"Another concern is that Pentaho is not customizable or interactive."
KNIME is ranked 1st in Data Mining with 51 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 H2O.ai, whereas Pentaho Business Analytics is most compared with Databricks, Microsoft Power BI, SAP Crystal Reports, Microsoft SQL Server Reporting Services and Tableau.
We monitor all Data Mining 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.