skillboardUpdated every 6 hours
skillboardGuides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
This document covers data volume scaling scenarios, where the total size of the dataset exceeds the capacity of a single node.
If the use case is multi-tenant, meaning that each user only has access to a subset of the data, and we never need to query across all the data, then we can use multi-tenancy patterns to scale.
The recommended way is to use multi-tenant workloads with payload partitioning, per-tenant indexes, and tiered multitenancy.
Learn more Tenant Scaling
Some use-cases are based on a sliding time window, where only the most recent data is relevant. For example an index for social media posts, where only the last 6 months of data require fast search.
Learn more Sliding Time Window
Most general use-cases require global search across all data. In these situations, we might need to fall back to vertical scaling, and then horizontal scaling when we reach the limits of vertical scaling.
When data doesn't fit in a single node, the first approach is to scale the node itself — more RAM, better disk, quantization, mmap. Exhaust vertical options before going horizontal, as horizontal scaling adds permanent operational complexity.
Learn more Vertical Scaling
When a single node can't hold the data even with quantization and mmap, distribute data across multiple nodes via sharding.
Learn more Horizontal Scaling
Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/scaling-data-volume · pinned to the source commit
# Run from your project root
git clone https://github.com/github/awesome-copilot.git .skillboard-tmp
git -C .skillboard-tmp checkout f11a4e441c5ff061b4f8ae37952be8c602e4034e
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/qdrant-scaling/scaling-data-volume" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/github/awesome-copilot.git .skillboard-tmp
git -C .skillboard-tmp checkout f11a4e441c5ff061b4f8ae37952be8c602e4034e
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/qdrant-scaling/scaling-data-volume" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/scaling-data-volume
Scanner static-checks@0.1.0 · commit f11a4e441c5f. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.