SvectorDB
Deliver cost-effective vector search optimized for AWS infrastructure
Target Audience
- AWS Cloud Developers
- AI Application Engineers
- Startup Technical Teams
Hashtags
Overview
SvectorDB is a serverless vector database designed specifically for AWS users who want pay-per-use pricing without managing infrastructure. It handles everything from small prototypes to production-scale applications with 1 million+ vectors, offering instant updates and hybrid search capabilities.' 'Developers can focus on building AI applications like recommendation systems or document search, while SvectorDB automatically scales and maintains query performance with 9ms average latency.
Key Features
Hybrid Search
Combine vector search with key-value filtering using familiar queries
Instant Updates
Real-time data changes without eventual consistency delays
AWS-Native
Built for AWS with CloudFormation integration and serverless design
Flexible Embeddings
Use built-in text/image vectorizers or bring custom models
Transparent Pricing
Pay only for storage, writes, and queries with no minimum fees
Use Cases
Build personalized recommendation engines
Enable semantic document/image search
Power retrieval-augmented generation (RAG) systems
Pros & Cons
Pros
- True serverless architecture with automatic scaling
- Sub-10ms query latency for real-time applications
- Free tier with 5k records and 10 indexes
- Direct access to engineering team for support
Cons
- No user-controlled database snapshots
- 1M record limit per database by default
- Micro startup might concern enterprise users
Pricing Plans
Storage
monthlyFeatures
- Database + indexes storage
- Per GB/month pricing
Queries
per millionFeatures
- Vector similarity searches
- Metadata filtering
Writes
per millionFeatures
- Upserts & deletions
- Instant consistency
Free Tier
ongoingFeatures
- 5k records max
- 10 indexes
- No expiration
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Can I create database backups/snapshots?
No, SvectorDB maintains internal backups but doesn't offer user-controlled snapshots
What happens if I exceed 1 million records?
You must contact support to increase the per-database record limit
How responsive is support?
Direct access to engineering team, but response times may vary as a micro-startup
Integrations
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