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Description
The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.
Description
Quest's erwin Data Catalog is a powerful tool for metadata management that assists organizations in understanding their data assets and their locations, encompassing both static and dynamic data. It provides insights into the available data and metadata related to specific topics, enabling users to swiftly locate relevant sources and resources for analysis and informed decision-making. By automating the tasks associated with harvesting, integrating, activating, and governing enterprise data in line with business needs, erwin Data Catalog enhances accuracy and accelerates the value derived from data governance initiatives and digital transformation projects, such as those involving data warehouses, data lakes, data vaults, and cloud migrations. Effective management of metadata is crucial for sustainable data governance and is essential for any organizational endeavor reliant on data for successful outcomes. The erwin Data Catalog streamlines various functions including enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately improving overall data management efficiency. As a result, organizations can better harness their data for strategic advantage and operational excellence.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Cloudera
Cosmian
DigDash
Google Cloud Platform
IRI DMaaS
Inverbis
Looker
Microsoft Power Query
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Cloudera
Cosmian
DigDash
Google Cloud Platform
IRI DMaaS
Inverbis
Looker
Microsoft Power Query
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Denodo Technologies
Founded
1999
Country
United States
Website
www.denodo.com/en
Vendor Details
Company Name
Quest Software
Founded
1987
Country
United States
Website
www.erwin.com/products/erwin-data-catalog/
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services