Sold by: RELEVANCE LABÂ
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
Sold by
Delivery method
Deployed on AWS
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
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
Legal
Vendor terms and conditions
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Content disclaimer
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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
As per support guide rlcatalyst@relevancelab.com /
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.
Updated weekly
By RELEVANCE LAB
By Domino Data Lab
By Cloudwick
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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
Standard contract
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