Database sharding partitions data horizontally across multiple servers, each holding a subset, so a system can scale beyond the capacity of a single database node.
Database sharding - Interview Concepts - ExtraBrain is part of ExtraBrain's local-first Mac workflow for live interviews, meetings, transcription, provider control, and responsible AI use.
Database sharding partitions data horizontally across multiple servers, each holding a subset, so a system can scale beyond the capacity of a single database node.
ExtraBrain has 1 current public platform family, macOS, with support for 2 Mac CPU families: Apple Silicon and Intel.
ExtraBrain has 3 configurable data paths to review before sensitive work: local Parakeet transcription, local Gemma 4 where installed and compatible, and external providers you choose.
A shard key decides which server holds a row; a poor key creates hotspots and uneven load.
Range, hash, and directory-based sharding trade simplicity against balance and flexibility.
Cross-shard joins and transactions are harder, so schema and queries must respect shard boundaries.
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Short answers for people and crawlers comparing ExtraBrain with other live AI assistants.
Pick a key with high cardinality and even access patterns to avoid hotspots and rebalancing.
Cross-shard queries, joins, and transactions become complex, so design queries to stay within a shard when possible.
