Actian VectorAI DBActian
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Amazon S3 VectorsAmazon
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Related Products
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About
Actian VectorAI DB is a portable, local-first vector database designed for AI systems that need to run close to their data, including edge, on-premises, and hybrid environments. It enables developers to deploy semantic search, retrieval-augmented generation (RAG), and AI-powered applications without relying on cloud infrastructure, avoiding latency, network dependency, and per-query costs. It provides native vector storage and high-performance similarity search using techniques such as approximate nearest neighbor indexing and algorithms like HNSW, allowing efficient retrieval across large embedding datasets while balancing speed and accuracy. It delivers low-latency search directly on devices ranging from laptops to embedded systems like Raspberry Pi, supporting real-time decision-making and autonomous behaviors without a network round-trip.
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About
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS).
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
AI engineers building edge or on-prem applications who need fast, local semantic search and scalable vector data processing without cloud dependency
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Audience
Developers and data-scientists wanting a tool offering vector storage without managing database infrastructure
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationActian
Founded: 1980
United States
www.actian.com/databases/vectorai-db/
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/s3/features/vectors/
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Categories |
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Integrations
Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Cohere
Docker
Hugging Face
OpenAI
Raspberry Pi OS
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Integrations
Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Cohere
Docker
Hugging Face
OpenAI
Raspberry Pi OS
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