Turbopuffer vs Redis Vector Search
Compare deployment options, cost efficiency, and features to choose the right vector database for your application.
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
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.
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 |