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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
Effortlessly search, discover, catalog, and access your data with Knoema’s DataHub, which addresses enterprise workflow issues across all business domains by serving as a comprehensive view of any organization's data resources. This platform significantly decreases the time to realize value by eight times when compared to developing solutions internally. It provides smooth connections to both internal databases and third-party data. Users can quickly search to uncover new datasets, ensuring data accessibility during cloud transitions and digital transformation initiatives. The catalog expands daily with new datasets, making it simple to find first-party, public, or third-party information. You can easily add new data subscriptions without added complexity. Filter through your own data, along with licensed third-party information and newly integrated data within Knoema, to obtain the precise data you require. The platform enhances insights and actions tailored to individual user workflows, promoting organizational data literacy. Furthermore, it allows for the integration and embedding of insights into other applications while offering data governance tools to monitor actions and usage effectively. In this way, organizations can not only streamline their data processes but also empower employees to make data-driven decisions.
API Access
Has API
API Access
Has API
Integrations
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Integrations
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
1998
Country
United States
Website
aws.amazon.com/datazone/
Vendor Details
Company Name
Knoema
Country
United States
Website
knoema.com
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
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge