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SvectorDB

Freemium

From prototype to production in a few lines of code

Developer ToolsFreemium
Inputs: text, image
Type
Saas
Company
SvectorDB
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About SvectorDB

SvectorDB is a serverless vector database built from the ground up for AWS. It offers cost-effective vector search, allowing users to pay only for what they use and optimize their cloud spend. It is designed to be high-performance and up to 20x cheaper than alternatives, focusing on enabling users to concentrate on their product rather than database management.

How to Use

Users can get started with SvectorDB by reading the documentation and using the quick start tutorial. Code examples are provided in JavaScript and Python. The service offers an OpenAPI specification for use with other languages. Users can create databases, set items with vectors, and query based on vectors or keys.

Key Features

  • Serverless architecture
  • Cost-effective pricing (pay-per-request)
  • High-performance vector search
  • Hybrid search with Lucene/ElasticSearch style queries
  • Instant updates (upserts and deletions)
  • CloudFormation support
  • Built-in vectorizers for text and images
  • Free tier available

Use Cases

  • Recommendation engines
  • Document/image search
  • Retrieval augmented generation

Key Features

Serverless architecture
Cost-effective pricing (pay-per-request)
High-performance vector search
Hybrid search with Lucene/ElasticSearch style queries
Instant updates (upserts and deletions)
CloudFormation support
Built-in vectorizers for text and images
Free tier available

Pros & Cons

Pros
  • Cost-effective pay-per-request pricing with no minimum fees
  • Serverless architecture eliminates provisioning and scaling overhead
  • High-performance vector search with low latency (9ms) and high recall (97.4%)
  • Instant data consistency: upserts and deletions reflected immediately
  • Hybrid search capabilities allow filtering results with familiar query syntax
  • Built-in vectorizers simplify embedding generation for text and images
  • Transparent company with direct communication to developers
  • Easy AWS integration via CloudFormation support
Cons
  • No snapshot/backup export feature available
  • Default limit of 1 million records per database (can be increased via support)
  • Currently only available on AWS infrastructure
  • Small company size may be a concern for enterprise customers

Best For

Recommendation enginesDocument/image searchRetrieval augmented generation

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FAQ

How does pricing work?
SvectorDB uses a pay-per-request model with no minimum fees or upfront costs. There is also a free tier with $0 storage.
What are the main limitations?
Databases have a default limit of 1 million records (can be increased by contacting support), and snapshot features are not currently available.
What programming languages are supported?
SvectorDB provides SDKs for JavaScript and Python, and supports any language via its OpenAPI specification.
Can I use my own embeddings?
Yes, you can bring your own embeddings or use built-in vectorizers for text and images.