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title: Database Optimization
weight: 3
---
## Database Optimization Strategies
### How do I reduce memory usage?
Quantization retains the original vector, but you can reduce the memory usage. Read more about leveraging the [Quantization](../../guides/quantization/) feature.
### How do I tune search accuracy while controlling for memory usage?
Accuracy tuning tips show you how to adjust quantile parameters and rescoring. Get some helpful tips [here](../../guides/quantization/#quantization-tips)
### How do I measure memory requirements?
Read more about the minimal RAM required to serve vectors with Qdrant. Read more about [Memory Consumption](../../../articles/memory-consumption/).
### How do I optimize speed search while retaining low memory use?
Use Vector Quantization or disable rescoring. Both will reduce disk reads. Read more about [optimizing Qdrant](../../tutorials/optimize).
### How do I avoid issues when updating to the latest version?
We only guarantee compatibility if you update between consequent versions. You would need to upgrade versions one at a time 1.1 -> 1.2 then 1.2 -> 1.3 then 1.3 -> 1.4.
### Do you guarantee compatibility across versions?
In case your version is older, we guarantee only compatibility between two consecutive minor versions.
While we will assist with break/fix troubleshooting of issues and errors specific to our products, Qdrant is not accountable for reviewing, writing (or rewriting), or debugging custom code.
### My database fails and memory usage is high.
Measuring memory consumption with htop or other tools won't provide accurate numbers. Test by limiting memory instead and see when it fails.