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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 SAP Data Intelligence?

Harness the potential of data by transforming chaotic information into valuable insights through advanced data intelligence. By interlinking, discovering, enhancing, and orchestrating disparate data resources, organizations can generate actionable insights that propel business success at an enterprise level. SAP Data Intelligence acts as a comprehensive solution for managing data. As the orchestration layer of SAP’s Business Technology Platform, it turns fragmented data landscapes into vital insights that encourage innovation on a grand scale. By providing users with intelligent, relevant, and contextual insights, seamless integration throughout the IT ecosystem is achieved. Efficiently managing and orchestrating extensive volumes of data and streams is essential for improving operational efficiency. Furthermore, it is important to optimize processes, implement machine learning-driven innovations, and create strong governance frameworks to address compliance risks through robust metadata management strategies. As the data landscape continues to evolve, prioritizing actionable insights will be essential for fostering sustained growth within enterprises, ensuring they remain competitive and responsive to market changes. The ability to adapt and innovate in response to data will be pivotal for future success.

Media

Media

Integrations Supported

Alibaba Cloud
Amazon Web Services (AWS)
ArcGIS
Azure NetApp Files
CIMPLICITY
Cisco AnyConnect
HPE Consumption Analytics
Hitachi Content Intelligence
Huawei APM
IBM Cloud
IRI DMaaS
Microsoft 365
NEC EXPRESSCLUSTER
Oracle Cloud Infrastructure
Red Hat Cloud Suite
SAP Joule
SUSE Cloud Application Platform
VMware Cloud
Veritas Enterprise Vault

Integrations Supported

Alibaba Cloud
Amazon Web Services (AWS)
ArcGIS
Azure NetApp Files
CIMPLICITY
Cisco AnyConnect
HPE Consumption Analytics
Hitachi Content Intelligence
Huawei APM
IBM Cloud
IRI DMaaS
Microsoft 365
NEC EXPRESSCLUSTER
Oracle Cloud Infrastructure
Red Hat Cloud Suite
SAP Joule
SUSE Cloud Application Platform
VMware Cloud
Veritas Enterprise Vault

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.22 per month
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

Quest Software

Date Founded

1987

Company Location

United States

Company Website

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

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-intelligence.html

Categories and Features

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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