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Read 70 Vertica reviews and testimonials from customers, explore 44 case studies and customer success stories, and watch 8 customer videos to see why companies chose Vertica as their Data Warehouse Software

Vertica is a Massively Parallel Processing (MPP) platform that distributes its workload over multiple commodity servers using a shared-nothing architecture. Vertica allows users to add User-Defined Extensions (UDxs), user-written code that runs inside of Vertica in parallel. Vertica user-defined code can be written in C, C+ declarative-SQL like code, or Java. Vertica enables the workload to run closer to the data and thus is significantly more efficient for execution. But, more importantly, it allows accessing all these extensions using the familiarity of the SQL language and all existing SQL-based tools.

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Customer Rating Review Scorebased on 3336 reference ratings
4.7/5.0 (3336)

70Testimonials

  • "Empirix is dealing with astounding amounts of data—billions of rows of subscriber data sets. With HP Vertica, we can query and get a response in five to seven seconds. In the past, we didn’t even run these types of queries because it would have been ridiculous to tackle that. Now we can do real-time analytics."

    Navdeep AlamDirector of engineering for analytics and prediction, Empirix
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44 Case Studies

  • Vertica delivers high-performance audience and advertising analytics for faster and more dynamic decision making

    Dmitry AntonovHead of the Technical Analytics Department
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8 Customer Videos

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Additional Vertica Information & Resources

Read Vertica Reviews, Testimonials & Customer References from 70 real Vertica customers.

Browse Vertica Case Studies, Customer Success Stories, & Customer References from 44 businesses that use Vertica.

Watch Vertica Customer Videos to learn why 8 businesses chose Vertica.

FeaturedCustomers has 1,863,409+ validated customer references including reviews, case studies, success stories, customer stories, testimonials and customer videos that will help you make better software purchasing decisions.