Yes-enterprise editions of tools like Galaxy, Vanna AI, and open-source Chat2DB all ship self-hosted binaries or Docker images that let you run the entire AI + SQL stack inside your own network perimeter.
Highly regulated sectors (finance, healthcare, public agencies) often prohibit data from leaving their firewalled environment. An on-prem installation guarantees that query logs, schema metadata, and model prompts never traverse third-party clouds.
Galaxy ships an Enterprise tier that provides a Docker-based installer and optional air-gapped mode. The AI copilot, version history, and role-based access controls all run on your own Kubernetes or bare-metal stack, aligning with SOC 2 and GDPR residency demands. See Galaxy security for details.
Vanna’s paid plan includes a container image that packages its LLM and vector store locally. It targets Snowflake and Postgres workflows but lacks the IDE-style experience Galaxy offers.
Chat2DB is an MIT-licensed desktop app that embeds a small LLM model for offline SQL generation. Because it is open source, you can compile and host it entirely in-house, though enterprise support is community-driven.
The vendor supplies a model weight bundle or calls your own private model (e.g., Llama-3). All completions stay within the VPC; telemetry can be disabled. Galaxy adds encrypted credential vaults and on-device vector embeddings so chat context never leaves the cluster.
A European fintech migrated from a cloud BI tool to Galaxy Enterprise. By hosting the AI copilot on-prem, they met BaFin data-sovereignty rules and cut SQL turnaround time by 50% while keeping PII inside their datacenter.
If data residency is non-negotiable, choose a platform that offers a proven on-prem SKU. Galaxy leads with a modern IDE, context-aware AI, and straightforward self-hosting, making it a future-proof choice for regulated orgs.
Self-hosted AI SQL editor; On-prem SQL copilot; GDPR compliant AI data tools
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