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What is DQ Studio?

DQ Studio™ is a powerful and highly flexible engine designed for master data management. It can connect with more than 130 diverse data sources and targets, empowering users to extract data, execute sophisticated data quality procedures, and relocate information—all within an intuitive low-code/no-code interface. This software enables users to retrieve data from various legacy systems, local installations, or online services, ensuring effortless migration to new settings. With a rich history spanning over 25 years in customer data management, we have faced countless data quality challenges, and our committed team ensures that every project is completed on schedule and within budget. You can have peace of mind knowing that your data is properly formatted, transformed, and enriched, followed by thorough duplicate verification before being inserted or updated in your business applications. The adaptability of DQ Studio™ facilitates smooth links to over 130 sources and targets, allowing users to effectively migrate data, integrate various systems, or consolidate different platforms through our extensive connectors. In an era where data is a crucial asset, having such a detailed and comprehensive tool at your fingertips can greatly improve your organization’s data management effectiveness, thus positioning you for success in a competitive landscape. This ensures that your organization can respond swiftly to changing data needs while maintaining high standards of quality and accuracy.

What is Cloudera DataFlow?

Cloudera DataFlow for the Public Cloud (CDF-PC) serves as a flexible, cloud-based solution for data distribution, leveraging Apache NiFi to help developers effortlessly connect with a variety of data sources that have different structures, process that information, and route it to many potential destinations. Designed with a flow-oriented low-code approach, this platform aligns well with developers’ preferences when they are crafting, developing, and testing their data distribution pipelines. CDF-PC includes a vast library featuring over 400 connectors and processors that support a wide range of hybrid cloud services, such as data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring a streamlined and adaptable data distribution process. In addition, the platform allows for version control of the data flows within a catalog, enabling operators to efficiently manage deployments across various runtimes, which significantly boosts operational efficiency while simplifying the deployment workflow. By facilitating effective data management, CDF-PC ultimately empowers organizations to drive innovation and maintain agility in their operations, allowing them to respond swiftly to market changes and evolving business needs. With its robust capabilities, CDF-PC stands out as an indispensable tool for modern data-driven enterprises.

Media

Media

Integrations Supported

Adobe Marketo Engage
Amazon DynamoDB
Amazon SimpleDB
Azure Table Storage
Firebird
Google Apps Script
IBM Informix
Microsoft Access
Microsoft Dynamics 365
Microsoft Dynamics GP
MongoDB
NetSuite CRM
NuoDB
Oracle CRM On Demand
QuickBooks Online Advanced
Sugar Connect
Xero

Integrations Supported

Cloudera
Cloudera Data Platform
Ternary

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Not specified

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

Company Facts

Organization Name

DQ Global

Date Founded

1997

Company Location

United Kingdom

Company Website

www.dqglobal.com/products/dq-studio/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cdf.html

Categories and Features

Data Management

Not specified

Categories and Features

Data Integration

Not specified

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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