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features
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support

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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.

Description

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 Yes 
Amazon Web Services (AWS) No 
Azure API Management Yes 
Azure Cosmos DB Yes 
Azure DDoS Yes 
Azure Key Vault Yes 
Couchbase No 
Data Sentinel Yes 
Denodo No 
Dropbox Yes 
FileCatalyst Yes 
GitHub Yes 
IRI Data Protector Suite No 
Microsoft Azure Yes 
NetApp StorageGRID Yes 
Oracle Cloud Infrastructure No 
Peaka Yes 
RudderStack Yes 
Salesforce Yes 

Integrations

Microsoft 365 Yes 
Amazon Web Services (AWS) Yes 
Azure API Management No 
Azure Cosmos DB No 
Azure DDoS No 
Azure Key Vault No 
Couchbase Yes 
Data Sentinel No 
Denodo Yes 
Dropbox No 
FileCatalyst No 
GitHub No 
IRI Data Protector Suite Yes 
Microsoft Azure No 
NetApp StorageGRID No 
Oracle Cloud Infrastructure Yes 
Peaka No 
RudderStack No 
Salesforce No 

Pricing Details

$1 per user per month
Free Trial Yes 
Free Version Yes 

Pricing Details

$299 per month
Free Trial Yes 
Free Version 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 

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) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/data-catalog/

Vendor Details

Company Name

Quest Software

Founded

1987

Country

United States

Website

erwin.com/products/erwin-data-intelligence/

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 

Product Features

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 

Alternatives

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