SvectorDB
SvectorDB is a serverless vector database designed for scalable, efficient management of up to 1 million vectors, supporting real-time updates and built-in vectorizers for text and images.
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Key Features
Vector Handling
Create, update, and query items based on vectors or keys.
Built-in Vectorizers
Supports text and image vectorization for semantic search.
CloudFormation Support
Integrates seamlessly with AWS CloudFormation templates.
Instant Updates
Upserts and deletions are reflected immediately without delay.
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Why Choose SvectorDB
Scalability:
Handles from 1 to 1 million vectors efficiently for growing datasets.Serverless:
Pay-per-request pricing with no provisioning or scaling required.High Availability:
Automatic replication across multiple zones ensures real-time updates.
Pricing
SvectorDB offers a freemium pricing model with a free tier allowing up to 5,000 records. Paid plans include $5 per million queries, $20 per million writes, and $0.25 per GB storage monthly. Pricing details are available on their pricing page.
About SvectorDB
SvectorDB is a serverless vector database designed for scalable, efficient management of up to 1 million vectors, supporting real-time updates and built-in vectorizers for text and images.
What SvectorDB Does
SvectorDB manages vector data to enable fast, scalable similarity searches and retrievals. It benefits users by simplifying the creation, updating, and querying of vector-based items for applications like recommendation engines and semantic search.
It features serverless architecture with pay-per-request pricing, automatic multi-zone replication for high availability, and built-in vectorizers for text and images. Users can query by vector or key and integrate via JavaScript, Python, or OpenAPI clients.
Industries such as e-commerce, content management, and AI-driven search benefit from its ability to handle large-scale vector datasets with low latency and instant updates.
Pros & Cons
Cost-effective
Pay only for requests made with no upfront costs.
Ease of Use
Quick start tutorials and multi-language client support.
Record Limit
Default maximum of 1 million records per database.
Snapshot Support
Does not offer user-controlled database snapshots.
Frequently Asked Questions
SvectorDB supports JavaScript, Python, and any language via its OpenAPI specification.
It uses a freemium model with free tier limits and charges per million queries, writes, and storage.
Yes, upserts and deletions are reflected instantly with no eventual consistency delay.
Yes, it supports integration into existing CloudFormation templates.
Yes, the default limit is 1 million records, increaseable by contacting support.
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