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."
"There are a lot of connectors available in KNIME."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"Easy to use, stable, and powerful."
"This open-source product can compete with category leaders in ELT software."
"It is very fast to develop solutions."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"The initial setup is pretty straightforward."
"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."
"We were able to install it without any assistance from tech support."
"The most valuable feature of Pentaho is the Tableau report."
"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."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"The ability to handle large amounts of data and performance in processing need to be improved."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"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."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"Logging capability is needed."
"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, 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."
"Pentaho Business Analytics' user interface is outdated."
"The repository should be improved."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"Another concern is that Pentaho is not customizable or interactive."
"Version control would be a good addition."
KNIME is ranked 1st in Data Mining with 50 reviews while Pentaho Business Analytics is ranked 21st 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, Weka and Anaconda, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Databricks, Microsoft SQL Server Reporting Services, SAP Crystal Reports and Knowage.
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.