Vectorization: The New Era of Big Data Parallelism

Every five to 10 years, an engineering breakthrough emerges that disrupts database software for the better. In the early 1990s, MPP parallel server clusters emerged, becoming widespread in the 2000s. Later, in-memory databases accelerated response times by eliminating the need to access disks.

Recently, cloud elasticity and tiered storage improved costs and reduced risk. Vectorization is the newest breakthrough gaining momentum towards widespread adoption. Early adopters are using fully vectorized databases to foster new applications and reap lower costs.

To best understand where vectorization is going, first learn about where we’ve been in this white paper, sponsored by Kinetica.

View below or download the PDF.

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