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    RLCatalyst Research Gateway (SaaS)

     Info
    RLCatalyst Research Gateway is a solution built on AWS, and provides a self-service portal with cost and budget management that helps consume AWS resources for Scientific Research.

    Overview

    RLCatalyst Research Gateway is a solution built on AWS, and provides a self-service portal with cost and budget management that helps consume AWS resources for Scientific Research. It can be easily integrated into existing AWS customer accounts. It provides 1-Click AWS Service Catalog assets. budget management and data access with secure governance. Universities and Research Institutions can adopt this solution with minimal upfront investments. It is available in both SaaS and Enterprise models.

    Highlights

    • Accelerates Scientific Research using AWS resources with cost and budget governance
    • Simple, secure, self-service portal with 1-Click AWS Service Catalog assets like Sagemaker, EC2, S3 etc.
    • Built on AWS and available in SaaS and Enterprise models

    Details

    Delivery method

    Deployed on AWS

    Features and programs

    Financing for AWS Marketplace purchases

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    Financing for AWS Marketplace purchases

    Pricing

    RLCatalyst Research Gateway (SaaS)

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (3)

     Info
    Dimension
    Description
    Cost/month
    Small
    1-10 Named users can be provisioned in the system for concurrent use
    $1,000.00
    Medium
    11-25 Named users can be provisioned in the system for concurrent use
    $2,000.00
    Large
    26 - 100 Named users can be provisioned in the system for concurrent use
    $3,000.00

    Vendor refund policy

    As per EULA

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    Legal

    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    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.

    Product comparison

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    Accolades

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    Top
    50
    In High Performance Computing
    Top
    25
    In Data Warehouses, Data Governance, Analytic Platforms

    Customer reviews

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    Sentiment is AI generated from actual customer reviews
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    Overview

     Info
    AI generated from product descriptions
    Resource Provisioning
    Provides 1-Click AWS Service Catalog assets for scientific research infrastructure like Sagemaker, EC2, and S3
    Access Management
    Offers secure self-service portal with governance controls for research resource consumption
    Budget Control
    Implements integrated cost and budget management mechanisms for research resource allocation
    Cloud Integration
    Seamlessly integrates with existing AWS customer accounts for research workloads
    Research Workflow Optimization
    Enables streamlined scientific research resource deployment through automated service catalog
    Machine Learning Operations (MLOps)
    Integrated workflows and automation for enterprise-level model development, deployment, and monitoring across diverse computational environments
    Tool and Infrastructure Ecosystem
    Comprehensive support for open-source and commercial tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed computing frameworks like Spark, Ray, Dask, and MPI
    Cloud Deployment Flexibility
    Supports hybrid and multi-cloud deployment options, including public cloud, on-premises, and seamless integration with Amazon SageMaker
    Collaborative Knowledge Management
    Centralized platform for cross-functional collaboration, knowledge sharing, and reproducible data science work across enterprise teams
    Governance and Compliance Framework
    Built-in audit-ready controls, model governance, monitoring, and reproducibility mechanisms for enterprise-level AI risk management
    Service Integration
    Native API integration with over 60 AWS services including Amazon Redshift, AWS Glue, Amazon QuickSight, and Amazon SageMaker
    Data Unification
    Supports unification of data across data warehouse and data lake environments, including unstructured, semi-structured, and structured data sets
    Data Ingestion
    Provides connectors, data pipelines, and ELT capabilities for creating, scheduling, and transforming data sets through single file upload, batch, or streaming methods
    User Management
    Centralized platform for managing users, roles, and permissions with comprehensive access control
    Data Catalog
    Built-in data catalog functionality enabling search and sharing of data resources across the organization

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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