KNIME Software on Amazon Web Services
Data science cloud deployment.
Try KNIME Server on AWS for Free
Realize the power of end to end data science on KNIME combined with the power and elasticity of AWS services to quickly construct, modernize, or orchestrate workflows to make better decisions faster. Email partners@knime.com to request your 30-day free trial of KNIME Server Medium or Large available for deployment in the AWS Marketplace. Qualified free trials will also receive AWS Promotional Credit to cover AWS usage during the free trial period.
Run KNIME Server or KNIME Analytics Platform on Amazon Web Services (AWS) Cloud Services. Host your data science platform and applications in the cloud.
Cloud-Hosted KNIME Software
Provide your organization cloud deployed, self service, data science development, delivery, and management.
Leverage Full Memory, GPU, or Maximum CPUs
Available on the instance for data science IT operations, or choose a bigger instance when needed.
Connect to Other Resources
Connect directly to other AWS resources from KNIME Software.
KNIME Software on AWS
Run KNIME Server Large on AWS and run auto-scaling groups with executors that can scale up and down as the workflow execution demand changes. KNIME Executors can also be purchased in the marketplace.
Serve large numbers of diverse users, more effectively, with Executor Groups and Executor Reservation, Auto Scaling on AWS, and Hybrid Installation.
Bring your own license or pay as you go. The former is possible once you've purchased your KNIME Server license from us.
Run KNIME Analytics Platform on Windows Server which is pre-configured for immediate use via Remote Desktop.
Pay the same for your annual KNIME Software subscription on AWS as you would for purchasing directly from KNIME (additional AWS infrastructure fees apply).
Try KNIME Server MediumAuto Scaling on AWS (BYOL & PAYG) with KNIME Server Large
KNIME Executors are available on the AWS Marketplace as bring-your-own-license (BYOL) and pay-as-you-go (PAYG) allowing you to automatically and dynamically start up new Executors. Using AWS Auto Scaling, you can detect if new KNIME Executors need to be started, e.g. in the case of heavy system load (scale out). Conversely, Executors are shut down again once load decreases (scale in). In the case of PAYG, dynamic scaling makes it possible to save money on both instance and license costs.
Connect to Databases on AWS
Use the Relational Database Service (RDS) connectors for AWS RDS MySQL, PostgreSQL, and SQL Server enable you to construct SQL queries graphically.
Create a Redshift cluster, run your SQL query, and shut it down when you're done.
Query flat files stored in S3 with a SQL interface without needing to maintain a database server using Athena.
Learn MoreConnect to Managed Services on AWS
The following options can be used to connect to managed services on AWS:
KNIME Integrations
Amazon Comprehend and Amazon Translate can be used in an instance purchased through the AWS Marketplace, manually installed in AWS, or installed on-premise.
EMR for Big Data Cluster Management
Support Apache Hive and Apache Spark via KNIME Big Data Integrations.
AWS Data Lake
Upload to and download from the AWS Data Lake with S3 Storage Connectors. Supports server side encryption to ensure data stays secure.
KNIME Server
Learn more about KNIME Server for collaboration, automation, management, and deployment.
KNIME Software on AWS
Find out more about hosting your KNIME Server on Amazon AWS.
