Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.
Description
Gate22 serves as a robust AI governance and Model Context Protocol (MCP) control platform designed for enterprises, centralizing the security and oversight of how AI tools and agents interact with MCP servers within an organization. It empowers administrators to onboard, configure, and regulate both internal and external MCP servers, offering detailed permissions at the functional level, team-based access control, and role-specific policies to ensure that only sanctioned tools and functionalities are accessible to designated teams or users. By providing a cohesive MCP endpoint, Gate22 aggregates multiple MCP servers into an intuitive interface featuring just two primary functions, leading to reduced token consumption for developers and AI clients, while effectively minimizing context overload and ensuring both precision and security. The administrative interface includes a governance dashboard that allows for the monitoring of usage trends, compliance maintenance, and enforcement of least-privilege access, while the member interface facilitates streamlined and secure access to authorized MCP bundles. This dual-view approach not only enhances operational efficiency but also strengthens overall security within the organizational framework.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Glue
Yes
AWS Lake Formation
Yes
Amazon Athena
Yes
Amazon Redshift
Yes
Amazon SageMaker Unified Studio
Yes
Amazon Web Services (AWS)
Yes
Model Context Protocol (MCP)
No
Integrations
AWS Glue
No
AWS Lake Formation
No
Amazon Athena
No
Amazon Redshift
No
Amazon SageMaker Unified Studio
No
Amazon Web Services (AWS)
No
Model Context Protocol (MCP)
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1998
Country
United States
Website
aws.amazon.com/datazone/
Vendor Details
Company Name
ACI.dev
Country
United States
Website
gate22-docs.aci.dev/introduction/overview
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No