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What is erwin Data Catalog?

Quest's erwin Data Catalog serves as an influential asset for metadata management, aiding organizations in comprehensively understanding both the nature and location of their data assets, which includes both static and dynamic datasets. This tool offers valuable insights into the data and associated metadata relevant to specific subjects, allowing users to efficiently identify pertinent sources and resources for thorough analysis and sound decision-making. By automating the processes of gathering, integrating, activating, and governing enterprise data according to business requirements, the erwin Data Catalog not only boosts accuracy but also accelerates the benefits gained from data governance efforts and digital transformation initiatives, which may include projects related to data warehouses, data lakes, data vaults, and cloud migrations. Proper management of metadata is vital for achieving long-term data governance success and is fundamental for any initiative that relies on data to achieve favorable results. The erwin Data Catalog enhances a variety of functions, such as enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately leading to improved efficiency in overall data management practices. Consequently, organizations are empowered to leverage their data more effectively, paving the way for strategic advantages and superior operational performance, thereby setting the stage for future growth and innovation.

What is Cloudera?

Manage and safeguard the complete data lifecycle from the Edge to AI across any cloud infrastructure or data center. It operates flawlessly within all major public cloud platforms and private clouds, creating a cohesive public cloud experience for all users. By integrating data management and analytical functions throughout the data lifecycle, it allows for data accessibility from virtually anywhere. It guarantees the enforcement of security protocols, adherence to regulatory standards, migration plans, and metadata oversight in all environments. Prioritizing open-source solutions, flexible integrations, and compatibility with diverse data storage and processing systems, it significantly improves the accessibility of self-service analytics. This facilitates users' ability to perform integrated, multifunctional analytics on well-governed and secure business data, ensuring a uniform experience across on-premises, hybrid, and multi-cloud environments. Users can take advantage of standardized data security, governance frameworks, lineage tracking, and control mechanisms, all while providing the comprehensive and user-centric cloud analytics solutions that business professionals require, effectively minimizing dependence on unauthorized IT alternatives. Furthermore, these features cultivate a collaborative space where data-driven decision-making becomes more streamlined and efficient, ultimately enhancing organizational productivity.

Media

Media

Integrations Supported

IRI DMaaS
IRI FieldShield
IRI Voracity

Integrations Supported

IRI DMaaS
IRI FieldShield
IRI Voracity
Alation
AllegroGraph
GigaSpaces
IRI CellShield
Immuta
Lynx Trading Platform
Mage Static Data Masking
OvalEdge
Scuba Database Vulnerability Scanner
Style Intelligence
TCS ADD
TCS MasterCraft DataPlus
TCS TAP
Talend Data Preparation
Velotix
Wallaroo.AI
doolytic

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard 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

Quest Software

Date Founded

1987

Company Location

United States

Company Website

www.erwin.com/products/erwin-data-catalog/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com

Categories and Features

Data Catalog

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Predictive Analytics

Business Intelligence

Data Analysis
Predictive Analytics

Data Catalog

Not specified

Data Lake

Not specified

Data Management

Not specified

Data Science

Not specified

Data Warehouse

Not specified

Key-Value Databases

Not specified

Machine Learning

Not specified

Metadata Management

Not specified

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