Modern web-scale applications require specialized databases to handle massive amounts of data. Relational databases alone are often not enough.
šš»š®š¹ššš¶š°š®š¹ š±š®šš®šÆš®šš²š optimize complex queries across large datasets using column-oriented storage and aggregation. This enables interactive analysis of billions of rows.
š”š¼š¦š¤š databases provide flexibility beyond the tabular relational structure:
- šš²š-šš®š¹šš² ššš¼šæš²š enable fast, simple data access.
- šš¼š°ššŗš²š»š š±š®šš®šÆš®šš²š store hierarchical JSON data. Highly scalable.
- šš¼š¹ššŗš»š®šæ š±š®šš®šÆš®šš²š optimize analytics via column-based structure.
- ššæš®š½šµ 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.