KNIME is present in 2 markets with 3 products. KNIME has 208 reviews with an overall average rating of 4.7.
Data Science and Machine Learning Platforms
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling that support the independent use by, and collaboration between, data scientists and their business and IT counterparts through all stages of the data science life cycle. These stages include business understanding, data access and preparation, experimentation and model creation, and sharing of insights. They also support machine learning engineering workflows including creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances and/or as a fully managed cloud offering.
KNIME has 2 products in Data Science and Machine Learning Platforms market
Predictive Analytics Software
Predictive analytics software uses advanced analytics capabilities to analyze current and historical data to make predictions about future events. This software connects data from different data sources and employs techniques like data mining and statistical analysis to forecast future trends, detect patterns, identify potential risks and opportunities, and plan for the best possible outcome. As a result, organizations can make better business decisions with machine-generated analytics, visualization, and reporting on predictive insights. These can be used in a wide range of industries, including healthcare, finance, marketing, and manufacturing.
KNIME has 1 product in Predictive Analytics Software market