Estimate your VectorAI DB deployment
CPUs: minimum 4
* Estimated price based on configuration. Final quote may vary.
Pricing
Choose the right tier for your AI workloads
Community
Most PopularFree Forever
Free
Vector Capacity
5K
Deployment Environment
Local Dev Machines
Support
Community
Starter
Most Popular30-Day Free Trial
$417 / mo
Vector Capacity
1M
Deployment Environment
Smaller Servers / VMs
Support
Silver
Growth
Built for Production
$1,250 / mo
Vector Capacity
5M
Deployment Environment
Large Servers / VMs
Support
Silver
Enterprise
Most PopularBuilt for large-scale deployment
Custom
Vector Capacity
10M+
Deployment Environment
Enterprise Infrastructure
Support
Silver
Edge
Most PopularBuilt for embedded devices
Custom
Vector Capacity
Custom
Deployment Environment
Devices / Embedded Systems
Support
Custom
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.
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 |
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 |
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.
Book a Personalized Demo
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