SvectorDB

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Ranked in Vector database hosting·Free plan

About

SvectorDB is a serverless vector database built for AWS-oriented applications that need vector search. It supports hybrid search through Lucene/Elasticsearch-style queries that filter results with key-value pairs, and the maker says upserts and deletions are reflected instantly. Applications can use built-in text and image vectorizers or supply their own embeddings. Listed use cases include recommendation engines, document and image search, and retrieval augmented generation. The service provides an AWS CloudFormation integration for creating and managing database and API key resources. Supported clients include JavaScript/TypeScript, Python, and OpenAPI/Swagger. API keys are scoped to one database and cannot be viewed again after creation. The free Sandbox databases plan is free and is limited to 5,000 items, one read and one write per second, and eight nearest neighbours per query; it is marked not for production workloads. Standard databases have no listed plan price, with usage rates of $0.005 per 1,000 reads, $0.02 per 1,000 writes, and $0.0003425 per GB-hour of storage. Terms disclaim guarantees for data availability, integrity, or preservation, and recommend treating the service as a secondary index.

Who it is for

It suits AWS-oriented developers building serverless vector search into applications, including production APIs with variable query volume. The stated data-durability limits are important for teams deciding where to keep authoritative data.

What is good

  • Supports Lucene/Elasticsearch-style metadata filtering.
  • Offers built-in text and image vectorizers.
  • Accepts customer-supplied embeddings.
  • Provides CloudFormation integration and several client options.
  • Upserts and deletions are said to appear instantly.

What to know first

  • Sandbox is explicitly not for production workloads.
  • Sandbox limits storage to 5,000 items.
  • No guarantee of data availability, integrity, or preservation.
  • Users cannot create database snapshots.

Verdict

SvectorDB offers AWS-oriented vector search with hybrid filtering, embedding options, and a free sandbox. Its terms make it unsuitable as the sole preservation layer for important data, and the sandbox limits are modest by the stated plan terms.

Compared on vector database hosting

Free plan
Yessvectordb.com
Hybrid search
Yessvectordb.com
Metadata filtering
Yessvectordb.com
Serverless scaling
Yessvectordb.com
Deployment regions
single-regionsvectordb.com

Facts

Product
SvectorDB describes itself as a serverless vector database built for AWS.svectordb.com · 5 Oct 2026
Consistency
The maker says upserts and deletions are reflected instantly.svectordb.com · 5 Oct 2026
Embeddings
Users can use built-in text and image vectorizers or bring their own embeddings.svectordb.com · 5 Oct 2026
Use cases
The maker lists recommendation engines, document and image search, and retrieval augmented generation as use cases.svectordb.com · 5 Oct 2026
Integrations
SvectorDB provides an AWS CloudFormation integration for creating and managing its database and API key resources.svectordb.com · 5 Oct 2026
Clients
The supported clients page lists JavaScript/TypeScript, Python, and OpenAPI/Swagger.svectordb.com · 5 Oct 2026
Authentication
API keys authenticate database requests, are scoped to one database, and cannot be viewed again after creation.svectordb.com · 5 Oct 2026
Security
The privacy policy says the company takes reasonable measures to protect data from unauthorized access, disclosure, alteration, and destruction.svectordb.com · 5 Oct 2026
Data durability
The terms say SvectorDB gives no guarantees about data availability, integrity, or preservation and recommend treating it as a secondary index.svectordb.com · 5 Oct 2026
Snapshots
The maker says users cannot create database snapshots, although it maintains internal backups.svectordb.com · 5 Oct 2026
Support
The maker says customers contact the people who built the product, and directs users to support by email or ticket for quota adjustments.svectordb.com · 5 Oct 2026
Intended users
The maker presents SvectorDB for AWS-oriented applications that need serverless vector search, including production APIs with variable query volume.svectordb.com · 5 Oct 2026

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