"The deployment is very good, where you only need to press a few buttons."
"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."
"KNIME is quite scalable, which is one of the most important features that we found."
"From a user-friendliness perspective, it's a great tool."
"I was able to apply basic algorithms through just dragging and dropping."
"We have found KNIME valuable when it comes to its visualization."
"The solution is good for teaching, since there is no need to code."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"It's a huge tool with machine learning features as well."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"From the point of view of the interface, they can do a little bit better."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"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."
"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."
"KNIME is not scalable."
"The documentation is lacking and it could be better."
"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."
"I would prefer to have more connectivity."
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available. KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.
KNIME has many valuable key features. Some of the most useful ones include:
There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.
Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”
Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”
Amazon SageMaker is ranked 9th in Data Science Platforms with 1 review while KNIME is ranked 4th in Data Science Platforms with 15 reviews. Amazon SageMaker is rated 7.0, while KNIME is rated 8.2. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, the top reviewer of KNIME writes "Allows you to easily tidy up your data, make lots of changes internally, and has good machine learning". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform and IBM Watson Studio, whereas KNIME is most compared with Alteryx, RapidMiner, Microsoft BI, Weka and SAS Analytics.
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