How to boost and scale Postgres - from sharding to in-memory data grids
Whether you want to scale to petabytes or tap into RAM, there is a solution for Postgres. Let's review these practical solutions, including built-in caching, sharding, and in-memory data grids like Apache Ignite.
Businesses are accumulating data at enormous rates requiring huge amounts of storage. Due to this, many industry players tend to predict Postgres' extinction. Nevertheless, most businesses have Postgres deployments for decades and continue doing so regardless of the advancement in big data, mobile, IoT, and all other revolutions that contribute to data generation.
So, how does Postgres manage its way through all technological storms and revolutions, and rank among the top 5 databases? The answer is the evolution of technologies designed to support relational databases. Whether you want to scale to petabytes or tap into RAM, there is a solution for Postgres. Let's review these practical solutions, including built-in caching, sharding, and in-memory data grids like Apache Ignite.
Client Service Lead