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KNIME Analytics Platform is a leading open solution for data-driven innovation, designed to discover the potential hidden in data, finding fresh insights or predicting future events. Organisations can take their collaboration, productivity and performance to the next level with a robust range of commercial extensions to this open source platform.
KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analytics steps and later inspect the results, models and interactive views. It is an open source data analytics-, reporting- and integration platform adopted by 100,000 users worldwide that is aligned with the Cross-Industry Standard Process for Data Mining (CRISP-DM).
As a trusted partner Crystalloids has implemented KNIME at over a dozen companies over the past few years for use cases such as:
KNIME integrates various components for Machine Learning and Data Mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing, for modelling and data analysis and visualisation without, or with only minimal programming.
The core version already includes hundreds of modules for data integration (file I/O, database nodes supporting all common database management systems through JDBC), data transformation (filter, converter, combiner) as well as the commonly used methods of statistics, data mining, analysis, and text analytics.
KNIME workflows can be used as data sets to create report templates that can be exported to document formats like doc, ppt, xls, pdf, and others. Other capabilities of KNIME are:
KNIME is implemented in Java but also allows for wrappers calling other code in addition to providing nodes that enable Java, Python, Pearl and other code fragments to run.
For the fifth year in a row KNIME has been placed in the leader category in Gartner’s 2018 Magic Quadrant for Data Science and Machine Learning Platforms. The placement recognises the ability to execute and complete a vision. While other platforms enable their functionalities as an extra service, KNIME continues to add more functionality to the open source platform. The concept of combining the commercial KNIME Server for collaboration, automation and deployment without ever limiting open source usage is what we appreciate the most.
Regardless of whether you use KNIME Analytics Platform for Advanced Analytics, Machine Learning, Business Intelligence or ETL tasks, you can use KNIME Server to extend analytics to your team. KNIME Server offers shared repositories, advanced access management, flexible execution, web enablement and commercial support.
Crystalloids offers KNIME-related consulting services
We offer a full range of services around KNIME, such as: