Amazon DataZoneAmazon
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Unity CatalogDatabricks
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Related Products
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About
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning.
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About
Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies searching for a solution to enhance their organization's data management capabilities
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Audience
Data scientists, analysts, and engineers needing a solution to discover, access, and collaborate on trusted data
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationAmazon
Founded: 1998
United States
aws.amazon.com/datazone/
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Company InformationDatabricks
Founded: 2013
United States
www.databricks.com/product/unity-catalog
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
AWS Glue
Supported
Amazon Redshift
Supported
AWS Lake Formation
Supported
Amazon Athena
Supported
Amazon SageMaker Unified Studio
Supported
Amazon Web Services (AWS)
Supported
Apache Spark
Not Supported
DataNimbus
Not Supported
Databricks
Not Supported
DuckDB
Not Supported
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Integrations
AWS Glue
Supported
Amazon Redshift
Supported
AWS Lake Formation
Not Supported
Amazon Athena
Not Supported
Amazon SageMaker Unified Studio
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Spark
Supported
DataNimbus
Supported
Databricks
Supported
DuckDB
Supported
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