How does Actian VectorAI DB compare to cloud-only vector databases?

Unlike cloud-only solutions, VectorAI DB is portable across edge, on-prem, hybrid, and cloud, giving you full data ownership and no per-query costs. It also offers 22x higher QPS than Milvus and Qdrant at 10M vectors.

What integrations does VectorAI DB support?

It provides Python and JavaScript SDKs, REST & SQL APIs, and native support for LangChain, LlamaIndex, OpenAI, and Cohere models.

Can VectorAI DB run on ARM processors?

Currently it supports Linux, Windows, and x86. ARM support is coming soon.

Is data encrypted in VectorAI DB?

Yes, it provides encryption at rest and in transit, along with a built-in management UI for monitoring and analytics.

Actian VectorAI DB

The portable vector database for AI agents beyond the cloud

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Listed website: actian.com
Published in directory: Apr 29, 2026
Last record update: Apr 29, 2026

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Overview
5 key features
4 use cases

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What is Actian VectorAI DB

Actian VectorAI DB is a portable vector database designed for AI applications that need to run beyond the cloud, on edge, on-premises, or hybrid environments. It delivers low-latency vector search with a 22x QPS advantage over competitors like Milvus and Qdrant, while allowing developers to build once and deploy consistently across diverse infrastructures. Teams maintain full data ownership and avoid per-query costs, making it ideal for applications requiring data sovereignty and predictable performance.

Key Features

Portable deployment across edge, on-premises, hybrid, and cloud environments

22x higher QPS than Milvus and Qdrant at 10M vectors

Native integration with LangChain, LlamaIndex, OpenAI, and Cohere

Encryption at rest and in transit with built-in management UI

Docker container for local development and production on Linux, Windows, and x86

Use Cases

AI agents running on edge devices for real-time semantic retrieval without cloud connectivity
Enterprise RAG systems deployed on-premises to keep sensitive data within company infrastructure
Hybrid cloud workloads where vector search must operate both locally and in the cloud
Air-gapped environments needing secure, offline vector search for compliance

Why do startups need this tool?

Startups need to iterate quickly without vendor lock-in or high cloud costs. Actian VectorAI DB lets you build locally, deploy consistently, and avoid per-query fees while maintaining full data control. Its portability ensures your AI can run anywhere—from a laptop to an edge device—without changing your stack.