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Co-authored-by: István Zoltán Szabó <istvan.zoltan.szabo@qdrant.com>
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István Zoltán Szabó
2026-06-02 13:16:14 +02:00
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co-authored by István Zoltán Szabó
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qdrant-landing/content/documentation/overview/_index.md
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@@ -114,7 +114,7 @@ Vertical scaling has natural limits \- eventually, you'll hit the maximum capaci
Qdrant uses sharding to split collections across multiple nodes, where each shard is an independent store of points. A common recommendation is to start with 12 shards, which provides flexibility to scale from 1 node up to 2, 3, 6, or 12 nodes without resharding. However, this approach can limit throughput on small clusters since each node manages multiple shards. Qdrant uses sharding to split collections across multiple nodes, where each shard is an independent store of points. A common recommendation is to start with 12 shards, which provides flexibility to scale from 1 node up to 2, 3, 6, or 12 nodes without resharding. However, this approach can limit throughput on small clusters since each node manages multiple shards.
For optimal throughput, set `shard_number` equal to your node count (read more [here](/documentation/distributed_deployment#sharding)). If you want to have better control over sharding, Qdrant supports [custom shards](/documentation/distributed_deployment/#user-defined-sharding). For optimal throughput, set `shard_number` equal to your node count (read more [here](/documentation/distributed_deployment/#sharding)). If you want to have better control over sharding, Qdrant supports [custom shards](/documentation/distributed_deployment/#user-defined-sharding).
#### Replication {#replication} #### Replication {#replication}