KNIME (Konstanz Information Miner) is a free open-source platform for data analytics and reporting with multiple integration options. Through a graphical interface, users can create and execute workflows for preprocessing, analyzing, and visualizing data with no or minimal programming. For this purpose, more than 4000 "nodes", which perform different operations, are currently readily available. In addition to data transformation (filter, converter, splitter, combiner, joiner) there are nodes for common statistical analysis and also for data mining, machine learning (also deep learning), time series analysis and text mining. KNIME is coded in Java and is based on Eclipse. Plug-ins that allow the execution of Java, Python, R, Ruby and other code fragments provide additional extensibility for maximum flexibility. The results can be displayed as a dashboard, or can be written into a database or exported in various file formats (Excel, .csv, .txt, etc.).
KNIME's core architecture enables processing of large amounts of data limited only by available disk space (not available RAM). For data integration, the core version already includes hundreds of modules that support all major database management systems via JDBC or native connectors: SQLite, MS-Access, SQL Server, MySQL, Oracle, PostgreSQL, Vertica and H2. Integration options with Amazon DynamoDB, Twitter, Google, Amazon S3, Azure Blob Store, Sharepoint, Salesforce, Kafka, REST and Web services are also available. KNIME also enables Big Data processing directly in the data sources such as Spark & Databricks, Hive or Impala.Â
The company was founded in Constance in 2006 and the headquarter is now located in Zurich. Additional offices are located in Konstanz, Berlin and Austin (USA). You can learn more about KNIME on the KNIME website or by contacting us.
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