At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows as analytical applications and services. Non experts are given access to data science via KNIME WebPortal or can use REST APIs to integrate workflows as analytical services to applications. Collaborate with team members by sharing workflows and components and enable users to reuse common functionalities. Automate work by scheduling workflows or reports to be executed at a certain time and modify and execute workflows directly on KNIME Server. Provide KNIME WebPortal access to licensed users to deploy analytical applications to consumers. Manage credentials locally for smaller teams, create workflow snapshots and compare to previous versions, monitor server activity, adjust permissions, and manage ongoing services. KNIME on Azure provides organizations with cloud-deployed, self-serviced data science development, delivery, and management, and is complemented by Azure services such as Azure SQL Database, Azure Data Warehouse, Microsoft R Open, HDInsight, Bing Speech to Text and Azure Blob Storage. For more details on the features available with KNIME Server Medium, visit https://www.knime.com/pricing Share data, nodes, metanodes, and workflows across your team and throughout your company. Versioning allows storage of each workflow revision, enabling extensive debugging, tracking and audit capabilities. KNIME Server gives you control over access management at the node, file, and application level. KNIME Server enables your team to offload execution from personal laptops to a well-provisioned Azure instance. Scheduled execution enables delayed and recurring workflow deployment, allowing maximum flexibility for distribution among teams and infrastructure. KNIME Server includes KNIME WebPortal, enabling access to your analytics on any device with a web browser. Data scientists can guide anyone in the organization to use advanced analytics, publish workflow results, or schedule execution remotely. Our REST interface allows you to effortlessly create industry-standard web services.