Use KNIME Analytics Platform to automate advanced analytics, machine learning, or data prep/ETL tasks. Productionize your data science team with collaboration and automation to accelerate delivery and deployment. Using the KNIME Server Small for AWS is a fast and efficient way to power and govern teamwork.

KNIME Server Small on AWS comes with standard email support from KNIME. Email support@knime.com to register your KNIME Server Small instance.

KNIME complements Amazon AWS services such as SageMaker, Kinesis, RedShift, Comprehend, Athena and EMR as integrated services.

Share data, nodes, components, and workflows across your team and throughout your data science team. Versioning allows storage of each workflow revision with all of its intermediate calculations, 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 AWS 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 data science repository on any device with a web browser. Data scientists can use advanced analytics, publish workflow results, or schedule execution remotely.