Turbopuffer vs Redis Vector Search
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 Redis Vector Search 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
- Redis Vector Search offers more deployment options
- Turbopuffer is more cost-effective
- Redis Vector Search has more permissive licensing
- Redis Vector Search has 4 more strengths
Vector Databases Are Just One Piece of RAG
Agentset gives you a managed RAG pipeline with the top-ranked models and best practices baked in. No infrastructure to maintain, no vector database to operate.
Trusted by teams building production RAG applications
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.
Redis Vector Search
Redis provides vector similarity search through Redis Stack (RediSearch module), enabling low-latency semantic search and RAG applications. As an in-memory database, Redis excels at small-to-medium scale vector workloads requiring ultra-low latency. It integrates vector search with Redis's core data structures, making it ideal for real-time AI applications, semantic caching, and RAG systems.
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
| Feature | Turbopuffer | Redis Vector Search |
|---|---|---|
| Deployment | BYOC, Managed Cloud | Self-Hosted (Redis Stack), Redis Enterprise, Redis Cloud |
| Cost | Minimum commitment $64/month | Redis Stack: Free (self-host); Cloud: starts $5/mo; Enterprise: shard-based pricing; Redis Flex: hybrid RAM+SSD |
| License | Proprietary | RSALv2 / SSPLv1 / AGPLv3 |
| Index Types | SPFresh | FLAT, HNSW |
| Cloud Providers | AWS, GCP, Azure | AWS, Azure, GCP |
| Regional Flexibility | high | high |
| Strengths | 7 | 11 |
| Weaknesses | 7 | 12 |