rapidminer by sennchi
https://rapidminer.com
Predictive Analytics And Machine Learning Solutions
数据科学平台
rapidMiner wraps breadth and depth in a beautiful package. rapidMiner invested heavily to revamp its visual interface, making it the most concise and fluid that we have seen in this evaluation. it also has a comprehensive set of operators that encapsulate a wide range of data prep, analytical, and modeling functionality to increase productivity of data scientists. rapidMiner is open source and has a community that contributes to its growing list of operators. rapidMiner studio is free to download and use for up to 10,000 data rows, with tiered pricing for more than 10,000 rows of data.
RapidMiner is based in Boston, Massachusetts, U.S. Its platform includes RapidMiner Studio, RapidMiner Server and RapidMiner Radoop. RapidMiner Studio is the model development tool, available as both a free edition and a commercial edition; it is priced according to the number of logical processors and the amount of data used by a model. With the free edition, customers get one logical processor and 10,000 rows of data. RapidMiner Server is designed for sharing, collaborating on and maintaining models. RapidMiner Radoop extends RapidMiner's execution directly into a Hadoop environment.
RapidMiner remains a Leader by delivering a well-rounded and easy-to-use platform to the full spectrum of data scientists and data science teams. RapidMiner continues to emphasize core data science and speed of model development and execution by introducing new productivity and performance capabilities.
STRENGTHS
**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.
CAUTIONS
**Reduced attention to open-source software: **Although most of RapidMiner's offering remains open-source, the company continues to add new functionality that is available only with a commercial license. Its new approach to commercial pricing and license management are challenging to some customers and make pricing unpredictable in some cases. Reference customers observed that RapidMiner's licensing sometimes limits usage of its offerings where they would otherwise fit well.
**Data visualization: **Although RapidMiner offers standard and even advanced data visualizations, they are rigid and hard to work with. Data visualization enhancements could help provide the ease of use sought by data scientists.
**Documentation and training: **Reference customers are not fully satisfied with RapidMiner's documentation and online help. Although basic documentation is satisfactory, it lacks depth, best practices and advanced tutorials. Reference customers want better education options. RapidMiner is trying to mitigate many of its documentation and training problems with a free customer success program.
