Sold by: RELEVANCE LAB
Deployed on AWS
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
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Delivery method
Deployed on AWS
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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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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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In Data Warehouses, Data Governance, Analytic Platforms
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Self-Service Portal
Provides a self-service portal enabling users to provision resources without manual intervention or administrative overhead.
AWS Service Catalog Integration
Integrates with AWS Service Catalog to enable one-click provisioning of pre-configured assets including SageMaker, EC2, and S3.
Cost and Budget Management
Implements cost tracking and budget management capabilities to monitor and control AWS resource consumption.
Secure Governance and Access Control
Enforces secure governance with data access controls and security policies for resource management.
AWS Account Integration
Integrates seamlessly into existing AWS customer accounts without requiring separate infrastructure deployment.
Self-Service Infrastructure Access
One-click, governed access to data, tools, and compute resources through a self-service portal with support for open-source tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed compute frameworks like Spark, Ray, Dask, and MPI.
Centralized Knowledge Management
Central hub for AI operations and knowledge across the enterprise enabling reproducibility, reusability, and cross-functional collaboration with audit-ready platform capabilities.
Integrated MLOps Workflows
End-to-end model development, deployment, and monitoring capabilities within a unified platform with support for preferred tools and languages, including seamless integration with Amazon SageMaker.
Multi-Cloud and Hybrid Deployment
Support for deployment across public cloud, hybrid, and multi-cloud environments through Domino Nexus, enabling workload execution across any compute cluster in any cloud, region, or on-premises infrastructure.
Model Governance and Compliance
Turnkey model governance, monitoring, and remediation with robust controls for compliance, reproducibility tracking, and audit-ready processes designed for regulatory requirements including GxP processes.
Native AWS Service Integration
Native API integration with over 60 AWS services including Amazon Redshift, AWS Glue, Amazon QuickSight, and Amazon SageMaker for immediate data access without additional development.
Unified Data Management
Ability to unify all data types including unstructured, semi-structured, and structured data from both data warehouse and data lake environments across multiple workloads.
Built-in Data Catalog
Integrated data catalog functionality for search and sharing of data assets across the organization.
Access Control and Identity Management
Centralized management of users, roles, permissions, and security policies within a single platform.
Data Ingestion and Transformation
Support for multiple data ingestion methods including single file upload, batch processing, and streaming with ELT capabilities for data transformation.
Standard contract
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