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About DQC Framework

DQC Framework is a data quality software from Virtusa that helps businesses conduct cost-efficient data quality checks. It includes features such as services, insights, and easy implementation of data quality checks for any database, so organizations can ensure accuracy and reliability of their data. The framework supports both unit and end-to-end testing, allowing for comprehensive data validation. It is extendible and designed to work with open-source solutions, making it adaptable to various business needs. Key capabilities: services insights unit testing end-to-end testing extendable framework Best for: data professionals that need to ensure data integrity and implement quality checks across multiple databases.

DQC Framework Details

Vendor
Virtusa
Year Launched
1996
Location
132 Turnpike Road, Suite 300, Southborough, MA 01772, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian.
Users
Data engineers, data analysts, data scientists, QA engineers, IT professionals, business intelligence teams
Industries Served
Banking & financial services, Communications, Consumer packaged goods, Healthcare, Life sciences, Information services, Insurance, Independent software vendors, Manufacturing, Media & entertainment, Retail, Transport & logistics, Travel & hospitality
Tags
Data Quality, Data Quality Campaign, DQC Framework, Data Management, Data Governance

DQC Framework's In-App Market Place

Does DQC Framework have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), RUB (₽), MXN (Mex$), BRL (R$), CHF (CHF), KRW (₩), SGD (S$), AED (د.إ), ZAR (R)

Pros & Cons

  • Flexible & Universal: Works with virtually any database or data warehouse, including Data Lakes.
  • Automated & Integrated: Streamlines data quality checks, scheduling, and integrates with major big data platforms.
  • Proactive Detection: Helps identify and fix data quality issues early.
  • Open-Source Dependency: Relies on open-source tools (like Great Expectations), which might require in-house expertise for maintenance and deeper customization.
  • Framework, Not Turnkey: Presented as a "framework" rather than an out-of-the-box product, implying some implementation effort.

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