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What is DQLabs?

DQLabs has a decade of experience in providing customized data solutions for Fortune 100 companies, concentrating on key areas including data integration, governance, analytics, visualization, and data science. The platform features a robust set of tools that facilitate autonomous operation, thereby removing the necessity for manual configurations. By leveraging cutting-edge AI and machine learning technologies, it guarantees that scalability, governance, and comprehensive automation are effectively realized. Additionally, it integrates effortlessly with various tools within the broader data ecosystem. Through the application of AI and machine learning, this pioneering platform significantly improves decision-making processes across all dimensions of data management. The era of tedious ETL processes, cumbersome workflows, and inflexible rules is now behind us; organizations can instead adopt a new phase of AI-enhanced decision-making that adjusts and evolves automatically in reaction to changing business strategies and emerging data trends. This flexibility not only helps businesses to stay agile but also enables them to thrive in the continuously shifting landscape of data management, positioning them for future success.

What is Azure Data Catalog?

In the current environment driven by data, the search for relevant information often takes more time than the analysis itself. Azure Data Catalog acts as a versatile metadata repository tailored for organizations, streamlining the identification of data resources. This fully-managed platform accommodates a diverse array of users—including analysts, data scientists, and developers—allowing them to register, improve, locate, understand, and leverage various data sources. You can utilize your preferred tools, as Data Catalog aids in the discovery and use of the data you need. Your data remains securely stored in your chosen locations, while Data Catalog assists in effortless access and management through a user-friendly interface. By encouraging broad usage and promoting ongoing value creation within the data ecosystem, Data Catalog enables users to exchange insights, advice, and best practices, fostering a collaborative environment where everyone can gain advantages. This solution not only democratizes the discovery of data assets but also ensures that all users can participate in the process meaningfully. Such a strategy enhances cooperation and contributes to a richer overall data landscape within organizations, ultimately driving innovation and informed decision-making.

Media

Media

Integrations Supported

Azure API Apps
Azure API Management
Azure Cosmos DB
Azure DDoS
Blit
Data Sentinel
DataOps.live
Dropbox
FileCatalyst
GitHub
Google Cloud Platform
Kubernetes
Microsoft 365
Microsoft Azure
Olono
Peaka
RudderStack
SQL Safe Backup
Salesforce

Integrations Supported

Azure API Apps
Azure API Management
Azure Cosmos DB
Azure DDoS
Blit
Data Sentinel
DataOps.live
Dropbox
FileCatalyst
GitHub
Google Cloud Platform
Kubernetes
Microsoft 365
Microsoft Azure
Olono
Peaka
RudderStack
SQL Safe Backup
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1 per user 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

DQLabs, Inc

Company Location

United States

Company Website

www.dqlabs.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Categories and Features

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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