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features
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support

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Description

AWS Service Catalog enables organizations to create and oversee a catalog of IT services that have received approval for utilization on AWS. This range of IT services encompasses various elements such as virtual machine images, servers, software, databases, and even intricate multi-tier application setups. By using AWS Service Catalog, you can effectively manage the IT services and applications that have been deployed, along with their associated resources and metadata. This capability plays a crucial role in ensuring consistent governance and fulfilling compliance requirements, all while empowering users to swiftly deploy only the sanctioned IT services they require. Furthermore, with the introduction of AWS Service Catalog AppRegistry, organizations gain insights into the application context of their AWS resources. You can establish and oversee your applications along with their metadata, facilitating the monitoring of costs, performance, security, compliance, and operational status at the application level. Additionally, AWS Service Catalog AppRegistry serves as a centralized hub for the aggregation and management of your application resources within the AWS ecosystem. This comprehensive approach not only streamlines resource management but also enhances organizational efficiency and governance.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Budgets
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

Integrations

AWS Budgets
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/servicecatalog/

Vendor Details

Company Name

Amazon

Founded

1998

Country

United States

Website

aws.amazon.com/datazone/

Product Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Alternatives

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