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."This solution is easy to use and especially good at data preparation and wrapping."
"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."
"We can deploy the solution in a cluster as well."
"It is very fast to develop solutions."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"It's a huge tool with machine learning features as well."
"Since KNIME is a no-code platform, it is easy to work with."
"It is a stable solution...It is a scalable solution."
"We were able to install it without any assistance from tech support."
"Easy to use components to create the job."
"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."
"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."
"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."
"The initial setup is pretty straightforward."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"The documentation is lacking and it could be better."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"If they had a more structured training model it would be very helpful."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"From the point of view of the interface, they can do a little bit better."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"Logging capability is needed."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"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."
"Pentaho Business Analytics' user interface is outdated."
"The repository should be improved."
"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."
"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 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.
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.