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Average Ratings 0 Ratings
Description
Atlas serves as a versatile and scalable suite of essential governance services, empowering organizations to efficiently comply with regulations within the Hadoop ecosystem while facilitating integration across the enterprise's data landscape. Apache Atlas offers comprehensive metadata management and governance tools that assist businesses in creating a detailed catalog of their data assets, effectively classifying and managing these assets, and fostering collaboration among data scientists, analysts, and governance teams. It comes equipped with pre-defined types for a variety of both Hadoop and non-Hadoop metadata, alongside the capability to establish new metadata types tailored to specific needs. These types can incorporate primitive attributes, complex attributes, and object references, and they can also inherit characteristics from other types. Entities, which are instances of these types, encapsulate the specifics of metadata objects and their interconnections. Additionally, REST APIs enable seamless interaction with types and instances, promoting easier integration and enhancing overall functionality. This robust framework not only streamlines governance processes but also supports a culture of data-driven collaboration across the organization.
Description
In today’s data-driven landscape, the quest for data often consumes more time than the actual analysis itself. Azure Data Catalog serves as a comprehensive metadata repository designed to simplify the process of discovering data assets across the enterprise. This fully-managed service empowers users—from analysts to data scientists and developers—to register, enhance, locate, comprehend, and utilize various data sources effectively. You can engage with data using your preferred tools, as Data Catalog enables you to access the information you require and integrate it seamlessly into your workflows. Your data remains where you prefer, while Data Catalog facilitates the exploration and utilization of that data in a user-friendly manner. By promoting widespread adoption and fostering ongoing value creation within your data ecosystem, Data Catalog provides useful insights, practical tips, and unwritten guidelines within a shared platform that benefits all users. With this tool, contributions from everyone are encouraged, leading to a democratization of data asset discovery that enhances collaborative efforts. This collective engagement ultimately transforms how organizations leverage data, paving the way for innovation and efficiency.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Azure API Apps
No
Azure Cosmos DB
No
Azure Data Lake
Yes
Beats
Yes
Blit
No
Dropbox
No
FileCatalyst
No
Hadoop
Yes
Hive Data
Yes
Integrations
Amazon Web Services (AWS)
No
Azure API Apps
Yes
Azure Cosmos DB
Yes
Azure Data Lake
No
Beats
No
Blit
Yes
Dropbox
Yes
FileCatalyst
Yes
Hadoop
No
Hive Data
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1 per user per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
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
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
atlas.apache.org/#/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/data-catalog/
Product Features
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
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Product Features
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No