# The Vertica Analytic Database: C-Store 7 Years Later

**Authors:** Andrew Lamb, Matt Fuller, Ramakrishna Varadarajan, Nga Tran, Ben Vandier, Lyric Doshi, Chuck Bear  
**arXiv:** [1208.4173](https://arxiv.org/abs/1208.4173)  
**Date:** 2012-08-21  
**Summary page:** https://www.summarizepaper.com/en/paper/1208.4173v1/

## Key points

- The paper analyzes the system architecture of the Vertica Analytic Database, a commercialization of the C-Store research prototype.
- Vertica offers a traditional relational interface while delivering high performance capabilities for modern "web scale" analytic systems.
- Strategic architectural choices optimize data processing and retrieval in Vertica.
- The paper demonstrates successful transition of academic systems research into a commercially viable product.
- Vertica showcases innovation and collaboration between academia and industry in advancing database technology.
- The evolution of Vertica over seven years highlights leveraging academic insights to drive technological advancements in real-world settings.

## Summary

The paper "The Vertica Analytic Database: C-Store 7 Years Later" by Andrew Lamb, Matt Fuller, Ramakrishna Varadarajan, Nga Tran, Ben Vandier, Lyric Doshi, and Chuck Bear provides an in-depth analysis of the system architecture of the Vertica Analytic Database (Vertica). This database is a commercialization of the design initially developed in the C-Store research prototype. <br>
 stands out as a modern commercial  system that offers a traditional relational interface while also delivering the high performance capabilities required by modern "web scale" analytic systems. This achievement is made possible through strategic architectural choices that optimize data processing and retrieval. Furthermore,  serves as a prime example of how academic systems research can successfully transition into a commercially viable product. The authors highlight the seamless integration of theoretical concepts with practical applications in creating  By bridging the gap between academia and industry,  showcases the potential for innovation and collaboration in advancing database technology. Overall, this paper sheds light on the evolution of  over seven years since its inception as a research prototype. It underscores the importance of leveraging academic insights to drive technological advancements in real-world settings, ultimately leading to successful products like  in the realm of analytical databases.