DigitalOcean supports large scale databases

DigitalOcean, the cloud for developers, today released High Memory Droplets (cloud servers) to continue to support large scale databases, more advanced workloads and applications at scale.

While DigitalOcean’s standard Droplets make it easy for developers to deploy a healthy balance of RAM, CPU and local SSD-based storage, High Memory Droplets enable developers and businesses with specific use cases, typically running large-scale databases or distributed in-memory caches that require more RAM such as MongoDB, Cassandra, and Redis.

“The next generation of applications need high memory to be intensely high performance, predictive and provide an exceptional user experience," said Yiftach Shoolman, co-founder and CTO, Redis Labs.

"In-memory, data structure platforms such as Redis can then take advantage of the available DRAM to meet a diverse set of processing and analytical needs, with the simplest possible developer experience," added Shoolman.

Julia Austin, CTO, DigitalOcean, said, “By offering High Memory Droplets, developers now have an optimal solution for larger, high-performance databases that demand aggressive memory caching for data file management. High Memory Droplets also allow for scaling up vertically versus horizontally."

DigitalOcean is launching five new High Memory Droplets plans that start at $120 per month or $0.18 per hour and scale from 16 GB to 224 GB of RAM while maintaining an appropriate amount of local storage and CPU. The per-gigabyte cost of RAM is 25 per cent less than DigitalOcean’s standard Droplet plans.