What methods exist for scaling a database as the volume of data grows?
sobes.tech AI
Answer from AI
Main methods of database scaling as data volume grows:
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Vertical scaling (scale-up) — increasing resources of a single server (CPU, RAM, SSD). Simple but limited by hardware capabilities.
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Horizontal scaling (scale-out) — adding new servers to the cluster.
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Sharding — partitioning data into parts (shards) by key, each stored on a separate server. Allows load distribution and increased capacity.
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Replication — creating copies of the database to improve availability and distribute read load.
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Caching — using external caches (e.g., Redis, Memcached) to reduce database load.
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Query and index optimization — improving performance without changing architecture.
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Using specialized databases — for example, NoSQL for certain data types and loads.
The choice of method depends on requirements for availability, consistency, load type, and application architecture.