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What is Knoema?

Knoema's DataHub allows for seamless searching, discovering, cataloging, and accessing of data, effectively addressing workflow challenges across various business sectors by providing an all-encompassing view of an organization's data assets. By utilizing this platform, enterprises can realize value eight times faster than if they were to develop solutions in-house. It facilitates easy connections to both internal databases and external third-party data, enabling users to swiftly search for and identify new datasets, which is particularly beneficial during cloud migrations and digital transformation efforts. The catalog is consistently updated with new datasets, simplifying the process of locating first-party, public, or third-party information. Adding new data subscriptions is straightforward and does not introduce unnecessary complications. Users can filter through their own data alongside licensed third-party sources and newly integrated datasets within Knoema, ensuring they obtain the specific information needed. The platform not only improves insights and actions designed for individual workflows but also fosters a culture of data literacy within organizations. Additionally, it supports the integration and embedding of insights into various applications, while also providing robust data governance tools to effectively track actions and usage. By doing so, organizations can enhance their data management processes and equip their staff to make informed, data-driven decisions that can positively impact overall performance. This comprehensive approach ultimately leads to better collaboration and innovation within teams.

What is Amazon DataZone?

Amazon DataZone serves as a robust data management solution, enabling users to efficiently catalog, discover, and share data sourced from AWS, on-premises systems, and external third-party platforms. It provides administrators and data stewards with essential tools to implement precise access controls, ensuring users obtain the appropriate permissions and relevant information. By simplifying data access for professionals such as engineers, data scientists, product managers, analysts, and business users, it encourages data-driven decision-making through improved collaboration. Key features include a business data catalog that aids in searching and requesting access to published data, project collaboration tools that help manage data assets effectively, a user-friendly web portal offering customized views for data analysis, and structured workflows for data sharing that uphold necessary access levels. Furthermore, Amazon DataZone utilizes machine learning to streamline the discovery and cataloging processes, greatly improving operational efficiency. This groundbreaking service not only simplifies the management of data but also cultivates a culture of insight-driven decisions throughout organizations, ultimately leading to enhanced productivity and innovation.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Knoema

Company Location

United States

Company Website

knoema.com

Company Facts

Organization Name

Amazon

Date Founded

1998

Company Location

United States

Company Website

aws.amazon.com/datazone/

Categories and 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

Categories and 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

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