RapidMiner is a Leader in the 2018 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
According to Gartner “Data science and machine learning platforms enable organizations to take an end-to-end approach to building and deploying data science models.”
In this new report, Gartner has named RapidMiner a leader for the fifth year in a row.
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RapidMiner makes analytics teams more productive through an open and extensible data science platform. RapidMiner unifies the entire data science lifecycle, from data prep to machine learning to predictive model deployment. Over 350,000 analysts and data scientists use RapidMiner products to drive revenue, reduce costs, and avoid risks.
Gartner identified the following strengths when evaluating RapidMiner. Read the full report for more on RapidMiner and all of the other vendors.
- Positive market response: RapidMiner focuses equally on data scientists and citizen data scientists — it aims for completeness and simplicity in its offerings. Reference customers expressed satisfaction with how RapidMiner’s offerings meet their needs. Accordingly, RapidMiner’s revenue has grown impressively, year over year.
- Model factory and model development: RapidMiner provides deep and broad modeling capabilities for automated end-to-end model development. For example, RapidMiner Studio includes a visual workflow designer and guided analytics. RapidMiner’s process execution framework provides a flexible, extensible and scalable capability for running and monitoring large numbers of model processes. RapidMiner supports automatic retraining of models, based on newer data. Marketplace Extensions add further capabilities to its products, such as text mining, web crawling and integration.
- Ease of use: Given the complexity and sophistication of data science endeavors, data scientists value ease of use highly, as it enables them to be more productive. RapidMiner delivers this value by providing an intuitive interface, easy access to data sources, simple programming for developing models and easily understood results. Reference customers reported a short learning curve.