Databases

Timeline

• 1979 Oracle (proprietary)
• 1983 IBM Db2 (proprietary)
• 1989 Microsoft SQL Server (proprietary)
• 1995 MySQL
• 1996 PostgreSQL
• 2000 SQLite
• 2003 Memcached
• 2005 Google BigTable (proprietary)
• 2005 Apache CouchDB
• 2008 Apache Cassandra
• 2009 MariaDB
• 2009 MongoDB
• 2009 Redis
• 2012 Amazon DynamoDB (proprietary)
• 2013 FoundationDB
• 2015 CockroachDB
• 2016 Clickhouse
• 2017 Google Cloud Firestore
• 2017 Google Cloud Spanner (proprietary)
• 2019 DuckDB

Usage

See DB-Engines ranking

Books

• 2012 Markus Winand: SQL Performance Explained (Use The Index, Luke)
• 2017 Martin Kleppmann: Designing Data-Intensive Applications
• 2020 Alex DeBri: The DynamoDB Book (DynamoDB Primer)
• 2023 James Smith: Build Your Own Database From Scratch

Misc

• 2006 Microsoft Multi‐Tenant Data Architecture
• 2007 Amazon Dynamo: Amazon’s Highly Available Key-value Store
• 2015 LinkedIn Introducing Espresso - LinkedIn’s hot new distributed document store
• 2018 Werner Vogels: A one size fits all database doesn’t fit anyone
• 2023 LinkedIn Solving Espresso’s scalability and performance challenges

Benchmarks

• ClickBench — a Benchmark For Analytical DBMS -Jepsen