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features
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support

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Description

This dynamic community is focused on advancing Big Data and Visualization software, along with promoting best practices and innovations essential for enterprises to harness the full potential of their extensive data resources. With over 98,000 members, it stands as the largest professional group for Big Data experts. Move past the buzz surrounding big data and engage with a leading community that caters to both seasoned professionals and organizations exploring the intersection of big data analytics, Hadoop, data warehousing, cloud solutions, unified data architectures, digital marketing, visualization, and business intelligence. Our aim is to unite stakeholders from various sectors, including industry, academia, and government, who share a keen interest in Big Data and Visualization methodologies, technologies, and applications. Your participation is crucial for fulfilling the community's objectives, so we invite you to join in the discussions, offer expert insights, share your learnings, and contribute your unique perspectives to enrich our collective knowledge. Together, we can drive innovation and foster collaboration in the field of big data.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Azure Data Lake No 
Beats No 
Hackolade No 
Hadoop No 
Hive Data No 
Hue No 
JanusGraph No 
Occubee No 
Spark No 

Integrations

Amazon Web Services (AWS) Yes 
Azure Data Lake Yes 
Beats Yes 
Hackolade Yes 
Hadoop Yes 
Hive Data Yes 
Hue Yes 
JanusGraph Yes 
Occubee Yes 
Spark Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

MAIA Intelligence

Founded

2006

Country

India

Website

www.maia-intelligence.com

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

atlas.apache.org/#/

Product Features

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis Yes 
Strategic Planning Yes 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

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 

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