MySQL: All content tagged as MySQL in NoSQL databases and polyglot persistence
With MySQL version 5.6 (and above), you have the ability to store and retrieve NoSQL data, using NoSQL commands, while keeping the data inside a MySQL InnoDB database. So, you can use NoSQL and SQL at the same time, on the same data, stored in the same database. And the beauty is that it takes just a few minutes to setup. This post will provide you with a quick lesson on how to setup NoSQL on a MySQL InnoDb database.
I see this trivialization of the term NoSQL quite frequently in the communications signed by Oracle: “Oh, you want NoSQL? Take memcached. Now shut up!” This is quite disrespectful to their customers and the developer community in general.
Original title and link: You want NoSQL? I’ll give you memcached ( ©myNoSQL)
A presentation by Todd Eisenberger about the archival system used by Dropbox based on MySQL and HBase:
- fast queries for known keys over a (relatively) small dataset
- high read throughput
- high write throughput
- large suite of pre-existing tools for distributed computation
- easier to perform large processing tasks
✚ Both are consistent
✚ Most of the benefits in HBase’s section point in the direction of data processing benefits (and not data storage benefits)