Turbopuffer vs Weaviate

Compare deployment options, cost efficiency, and features to choose the right vector database for your application. If you want to compare these models on your data, try Agentset.

Database Comparison

Turbopuffer takes the lead.

Both Turbopuffer and Weaviate are powerful vector databases designed for efficient similarity search and storage. However, their deployment options and features differ in important ways.

Why Turbopuffer:

  • Turbopuffer ranks higher overall
  • Turbopuffer offers more deployment options
  • Turbopuffer is more cost-effective
  • Weaviate has more permissive licensing
  • Weaviate has 1 more strengths

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Turbopuffer

Turbopuffer is a fully managed cloud vector database built around a centroid-optimized SPFresh index. It is designed for extremely low-cost, large-scale storage, leveraging object storage engines like S3, GCS, or Azure Blob.

Deployment: BYOC, Managed Cloud
Cost: Minimum commitment $64/month
License: Proprietary
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Weaviate

Weaviate is a cloud and self-hosted vector database offering hybrid dense+sparse search, strong metadata filtering, and a modular storage layer. It is designed for enterprise and production RAG workloads that require flexibility and scalable cloud hosting.

Deployment: Self-Hosted, Managed Cloud
Cost: Free (self-host), cloud starts ~$25/mo
License: BSD
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Build RAG in Minutes, Not Months

Agentset gives you a complete RAG API with fully managed vector storage and retrieval. Upload your data, call the API, and get accurate results from day one.

import { Agentset } from "agentset";

const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");

const results = await ns.search(
  "What is multi-head attention?"
);

for (const result of results) {
  console.log(result.text);
}

Feature Comparison

Infrastructure & Technical Details

FeatureTurbopufferWeaviate
DeploymentBYOC, Managed CloudSelf-Hosted, Managed Cloud
CostMinimum commitment $64/monthFree (self-host), cloud starts ~$25/mo
LicenseProprietaryBSD
Index TypesSPFreshHNSW, Hybrid dense+sparse
Cloud ProvidersAWS, GCP, AzureAWS, GCP
Regional Flexibilityhighlow
Strengths78
Weaknesses76