KNIME and Dataiku are competitors in the data analytics platform category. KNIME appears to have a slight edge in user satisfaction due to its simplicity and strong community support.
Features: KNIME is recognized for its data analytics capabilities without the need for coding, allowing efficient data transformations and model building. It supports multiple data formats and has powerful low-code features. Dataiku is praised for robust machine learning capabilities and integration with various data sources.
Room for Improvement: KNIME could enhance its Community Edition features, improve official support, and focus on scalability. Dataiku could benefit from better GitHub integration, support for varied data types, and improved user-friendliness for non-technical users.
Ease of Deployment and Customer Service: KNIME supports deployment in on-premises, private, and public cloud environments but relies on community support. Dataiku is primarily on-premises and private cloud-focused, with praised customer service responsiveness. KNIME's deployment flexibility is a significant advantage.
Pricing and ROI: KNIME offers a cost-effective free desktop version and higher-cost server version, benefiting from being open-source, ideal for academics. Dataiku is considered more expensive with a higher initial investment. Both have solid ROI, but KNIME is more budget-friendly for cost-conscious users.
Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.
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 Features
KNIME has many valuable key features. Some of the most useful ones include:
KNIME Benefits
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.
An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. 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.”
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.”
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