VectorAI DB

Pricing plans for your next AI App

Start free with Community Edition, evaluate the full standalone platform with a 30-day trial, and scale to enterprise deployments.
VectorAI DB pricing
Trusted by 25 of the Fortune 100

Estimate your VectorAI DB deployment

1,000,000
Precision
No metadata
bytes
Recommended package
1× Starter

Estimated licensed capacity
1M vectors
Estimated cost
$417/Monthly
Billed Annually
Recommended hardware
RAM: 8 GB
CPUs: minimum 4

* Estimated price based on configuration. Final quote may vary.

Pricing

Choose the right tier for your AI workloads

Community

Most Popular

Free Forever

Free

Vector Capacity
5K

Deployment Environment
Local Dev Machines

Support
Community

Download Now

Starter

Most Popular

30-Day Free Trial

$417 / mo

Vector Capacity
1M

Deployment Environment
Smaller Servers / VMs

Support
Silver

Buy Now

Growth

Most Popular

Built for Production

$1,250 / mo

Vector Capacity
5M

Deployment Environment
Large Servers / VMs

Support
Silver

Buy Now

Enterprise

Most Popular

Built for large-scale deployment

Custom

Vector Capacity
10M+

Deployment Environment
Enterprise Infrastructure

Support
Silver

Talk to Sales

Edge

Most Popular

Built for embedded devices

Custom

Vector Capacity
Custom

Deployment Environment
Devices / Embedded Systems

Support
Custom

Talk to Sales

Monthly prices shown are billed annually. Have questions or need assistance? Contact Us

Deploy VectorAI DB anywhere

VectorAI DB supports flexible deployment environments, including local development, embedded applications, and enterprise infrastructure.

Supported platforms include:

  • Self-managed cloud.
  • Bare metal environments.
  • On-prem infrastructure.
  • Embedded/edge deployments.
VectorAI DB Deployment

Features by tier

Scale seamlessly with VectorAI DB.

Community

Starter

Growth

Enterprise

Edge

Vector Capacity

5K Vectors

~1M Vectors

~5M Vectors

~10M+ Vectors

1K Vectors

Primary Use Case

Developer experimentation

Small AI applications

Mid-scale AI workloads

Large production deployments

Embedded AI
applications

Support

Community

TBD

TBD

TBD

OEM/Enterprise

Deployment

Local dev machines

Small servers / VMs

Large servers / VMs

Enterprise infrastructure

Devices / embedded systems

Operating System

Linux / Windows / Mac

Linux / Windows / Mac

Linux / Windows / Mac

Linux / Windows / Mac

Linux

SDKs

Python / JavaScript

Python / JavaScript

Python / JavaScript

Python / JavaScript

C++

CPU Architecture

X86 / ARM64

X86 / ARM64

X86 / ARM64

X86 / ARM64

ARM64

Architecture

Client server

Client server

Client server

Client server

In-process runtime

Persistence

Disk-based

Disk-based

Disk-based

Disk-based

Device storage

Scaling Model

Vertical

Vertical

Vertical

Vertical

Device-level

Licensing Model

Perpetual (Dev Only)

Subscription

Subscription

Enterprise subscription

Perpetual

Availability

Website

Website

Website

Sales

Sales/OEM channel

Production Use

No

Yes

Yes

Yes

Yes

Commercial Redistribution

No

Server OEM

Server OEM

Server OEM

Embedded OEM

Buy VectorAI DB

FAQs

Yes. Actian VectorAI DB Community Edition is free forever for developers working on small projects, experiments, and prototypes. When you sign up for Community Edition, you also get a 30-day full-featured trial of VectorAI DB that starts immediately and supports up to 1 million vector embeddings. After the trial, Community Edition remains available for free with up to 5,000 vector embeddings on local development machines. For production use, higher capacity, or commercial redistribution, choose a paid plan.

VectorAI DB pricing is primarily based on vector capacity. The pricing calculator above helps estimate the right package based on the number of vectors, embedding dimension, precision, metadata size, and recommended hardware. It also supports license stacking, so teams can scale capacity incrementally by combining license tiers and paying for the storage they need.

Yes. VectorAI DB supports flexible deployment environments, including bare metal, on-prem infrastructure, self-managed cloud, embedded, and edge deployments.

Edge is designed for embedded and edge AI applications that need vector search inside a device, application, or OEM product. Unlike the standard client-server editions, Edge uses an in-process runtime, is built for device-level deployment, supports ARM64 on Linux, and uses an embedded/OEM licensing path. The other paid tiers are client-server deployments for small servers, large servers, VMs, or enterprise infrastructure.

Not Sure Where to Start?

Talk with our team about how organizations are using VectorAI DB to build AI agents, reduce retrieval latency, keep sensitive data local, and deploy AI in environments where cloud databases don’t work. We can help you evaluate architectures, deployment models, and real-world AI use cases.

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