An Ode to 17 Databases in 33 Minutes
summary
A rapid whirlwind claims to survey 17 databases in 33 minutes and actually names implementations and tradeoffs PostgreSQL with JSON and Hstore and indexing, Redis with Lua scripts powering queues, Cassandra with tunable quorums and eventual consistency, Riak using consistent hashing for automatic rebalancing, Neo4j for relationship-first queries, RethinkDB aiming for correctness then usability, and Hyperdex promising HyperSpace hashing and transactional ops at scale The talk cites 100s of petabytes, shows demos and animated gifs, and reports what practically works and what breaks.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 7:05Cap Theorem
- 10:00Postgres
- 12:35Oracle
- 16:55BigTable
- 18:30Cassandra
- 21:20Memcached
- 23:50Redis
- 25:35Lua
- 27:00Neo4J
- 29:15MongoDB
- 31:25Rethink TB
- 32:50HyperDex
- 34:50Big Data
related talks
35mAn Ode to 17 Databases in 39 minutes
44mAn ode to 17 databases in 29 minutes
45mDatabases for Data Science
23mFANTASTIC DATABASES AND WHERE TO FIND THEM
34mData Storage: NoSQL Toasters and a Cloud of Kitchen Sinks
41mHow to choose the right database for your application
01h 02mStoring Non-Scalar Data
14mYour favourite second database