Remove Benchmarking Remove Big Data Remove Database Remove Storage
article thumbnail

Why MySQL Could Be Slow With Large Tables

Percona

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. It can help us to save costs on storage and backup times. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

article thumbnail

Redis vs Memcached in 2024

Scalegrid

With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology. 3d render.

Cache 130
article thumbnail

This week in review: GPUs, Zombies, Biomimicry and Tom Waits.

All Things Distributed

There was an excellent first benchmarking report of the Cluster GPU Instances by the folks at Cycle Computing - " A Couple More Nails in the Coffin of the Private Compute Cluster " The Top500 supercomputer list. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Syndication.

AWS 67