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    KNIME Server Medium for AWS

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    Sold by: KNIME 
    KNIME Server Medium for AWS gives data science teams the power and flexibility to visually tackle data science challenges without the need for on-premise infrastructure or setup.
    Listing Thumbnail

    KNIME Server Medium for AWS

     Info
    Sold by: KNIME 

    Overview

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    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 Analytics Platform is the open source software for creating data science. 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.

    KNIME Software for AWS provides a best-in-class solution for building and governing end to end data analytics and machine learning pipelines. Enterprises across all sectors are collecting and storing vast amounts of data in order to make better decisions, but few are realizing its full potential. KNIME for AWS allows one open platform to extract and transform this data into something useful, analyze the data using the most modern data science techniques, incorporate existing ML software, services and capabilities, deploy models or algorithms to any application or visualization endpoint, and complete this entire process in the context of a highly secure, scalable, auditable, and reusable fashion. KNIME Server for AWS brings together the many creators, contributors, and users of analytics and ML within the organization in a visual environment that speeds up comprehension and decision

    Highlights

    • Shared repository for KNIME Workflows, components, models, and data
    • Web application services for Guided Analytics
    • RESTful web services ready and scheduled execution

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04 LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (r5.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $5.074/hour

    Pricing

    KNIME Server Medium for AWS

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (104)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.medium
    $4.57
    $0.046
    $4.616
    t2.large
    $4.57
    $0.093
    $4.663
    t2.xlarge
    $4.57
    $0.186
    $4.756
    t2.2xlarge
    $4.57
    $0.371
    $4.941
    t3.large
    $4.57
    $0.083
    $4.653
    t3.xlarge
    $4.57
    $0.166
    $4.736
    t3.2xlarge
    $4.57
    $0.333
    $4.903
    t3a.large
    $4.57
    $0.075
    $4.645
    t3a.xlarge
    $4.57
    $0.15
    $4.72
    t3a.2xlarge
    $4.57
    $0.301
    $4.871

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Update to KNIME Server 4.16.9 and KNIME Executor 5.2.2. Including Workflows as a Service, dynamic Data Apps, and several new connectors.

    Additional details

    Usage instructions

    Access the application via a browser at http://<public_dns>/knime, or https://<public_dns>/knime. Admin username is: knimeadmin and password is the AWS instance ID. To connect to the operating system, use SSH and the username ubuntu. The KNIME Server is controlled via a systemd process named 'knime-server.service'. All KNIME Server related files can be found in /opt and /srv. Files and directories are owned by the user 'knime'. AWS Specific Documentation is found at: User data is stored on a block device mounted under /srv. The KNIME Server can be stopped by running sudo systemctl stop knime-server.service. Use the volume ID to mount the volume with your existing data onto the new instance. Full details can be found at: https://docs.knime.com/latest/aws_marketplace_server_guide/index.html  Full documentation is available in the KNIME Server Administration Guide: https://docs.knime.com/latest/server_admin_guide/index.html 

    Support

    Vendor support

    Register your KNIME marketplace product for support at

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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