About CData Virtuality
CData Virtuality is a modern data virtualization and logical data warehouse platform designed to help organizations unify disparate data sources and deliver real‑time business insights without the need to physically relocate data.
CData Virtuality Details
Vendor
CData Software
Year Launched
2012
Location
101 Europa Dr. #110 Chapel Hill, NC 27517 USA
Deployment
cloud, on premise, windows, mac, linux, web browser
Training Options
demo, community
Countries Served
All Countries.
Languages
English
Users
Data Analysts, Business Intelligence Developers, Data Engineers, Data Scientists, Data Engineers, IT Managers
Industries Served
Healthcare, Education, Finance, Retail, Manufacturing, Government, Technology, Telecommunications, Transportation, Energy.
Tags
Integration, Data Virtualization, Data Warehouse, Data Management, Big Data, Analytics, Business Intelligence, Logical Data Warehouse
CData Virtuality's In-App Market Place
Does CData Virtuality have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Free trial
Free version
Request a quote
Promo Offer
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CNY (¥), AUD (A$), CAD (C$), CHF (CHF), SEK (kr), NOK (kr), DKK (kr), INR (₹), SGD (S$), HKD (HK$), KRW (₩), RUB (₽), BRL (R$)
Pros & Cons
- Connects to hundreds of heterogeneous data sources with unified semantic access.
- Supports real‑time analytics without duplicating data for faster insights.
- Empowers data governance with centralized policies across distributed systems.
- Enables hybrid and multi‑cloud deployment, reducing infrastructure limits.
- Accelerates analytics adoption by providing self‑service access to data teams.
- High upfront setup complexity for connecting numerous heterogeneous sources.
- Advanced procedural SQL knowledge needed for complex transformations.
- Performance may degrade with extremely large datasets without tuning.
- Lacks built-in visualization tools; requires third-party BI software.
- Version upgrades can disrupt existing ETL pipelines if not carefully managed.