Modern web-scale applications require specialized databases to handle massive amounts of data. Relational databases alone are often not enough.
𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 optimize complex queries across large datasets using column-oriented storage and aggregation. This enables interactive analysis of billions of rows.
𝗡𝗼𝗦𝗤𝗟 databases provide flexibility beyond the tabular relational structure:
- 𝗞𝗲𝘆-𝘃𝗮𝗹𝘂𝗲 𝘀𝘁𝗼𝗿𝗲𝘀 enable fast, simple data access.
- 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 store hierarchical JSON data. Highly scalable.
- 𝗖𝗼𝗹𝘂𝗺𝗻𝗮𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 optimize analytics via column-based structure.
- 𝗚𝗿𝗮𝗽𝗵 databases efficiently store interconnected data.
Choosing the right database to match the access patterns and data models is key. A typical web application may use a mix of relational, NoSQL, and other databases to deliver top performance at scale.