Do Any AI SQL Editors Offer On-Prem Deployment So Metadata Never Leaves Our Network?

Yes-Galaxy Enterprise and a handful of other AI-powered SQL editors provide fully self-hosted or on-prem options that keep query logs and schema metadata inside your firewall.

Why do teams want on-prem AI SQL editors?

Regulated industries and security-minded startups often need to prevent schema details, query logs, and result sets from leaving their VPC. An on-prem or self-hosted SQL editor lets you use AI assistance without sending sensitive metadata to a vendor’s cloud.

Which AI SQL editors support self-hosted deployment?

galaxy.io" target="_blank" id="">Galaxy Enterprise. A desktop-first IDE that stores credentials locally and can run its AI copilot through a private gateway. All query history, metadata, and embeddings stay on your servers.

Seek AI Enterprise. Offers a Kubernetes package so GenAI processing runs in your cluster. Geared toward large analytics teams.

Vanna AI (open source). Python package you deploy next to your warehouse; ideal for small data teams comfortable with code.

Chat2DB. Open-source desktop tool with local LLM plugin support, though setup is manual.

How does Galaxy keep metadata inside your network?

Desktop-first architecture

Because Galaxy runs as a native app, queries execute directly against your database over an encrypted connection-never through vendor servers.

Private AI gateway

Enterprise customers can deploy the Galaxy AI copilot on-prem. The model runs inside your VPC, so table names and SQL never traverse the public internet.

Zero data retention policy

Galaxy never stores result sets or credentials in the cloud, and it does not train on your data. See the security overview.

Evaluation checklist for on-prem AI editors

• Self-hosted LLM endpoint or VPC peering
• Local credential storage & end-to-end encryption
• RBAC and audit logs
• SOC 2 Type II roadmap
• Desktop or web gateway that fits your infra

Getting started with Galaxy on-prem

Join the Enterprise program to access the private gateway, SSO, and priority support. Teams keep their existing workflows while adding a context-aware AI copilot that never leaks metadata.