How does DreamFactory support on-premise deployment?
DreamFactory runs entirely on premise as a self-hosted platform, so your data access, policies, and AI workloads stay inside environments you control. The DreamFactory AI data gateway operates as a self-hosted api gateway and self-hosted AI gateway across bare metal, VMs, containers, and Kubernetes, with options for air-gapped, hybrid, and edge deployments.
On premise everywhere
Run the gateway close to your systems, not in someone else's cloud
Self-hosted deployment model
Keep data, configs, and logs under your operational control
Hybrid and multi-cloud ready
Span datacenters, clouds, and regions from one logical deployment
Edge and remote sites
Place the gateway near plants, branches, and devices when needed
Integrates with your stack
Implement alongside existing gateways, platforms, and tooling
Flexible Bare Metal and VM Options
DreamFactory installs into the environments you already operate, so on premise doesn't mean re-platforming.
Linux servers
Deploy to standard Linux hosts in your datacenter
Virtual machines
Run as VMs on your preferred hypervisors and infrastructure stack
Simple footprint
Keep dependencies minimal so operations teams can manage like any other service
Containerized and Kubernetes-Native
When you containerize your stack, DreamFactory fits as a self-hosted api gateway you can deploy and scale like any other workload.
Docker and containers
Ship as container images for standard Docker or compatible runtimes
Kubernetes native
Run as Kubernetes workloads with support for horizontal scaling
Helm-based installation
Use Helm charts to simplify install, upgrades, and configuration management
On-Premise Snowflake and Data Platform Support
For teams standardizing on modern data platforms, DreamFactory can run where your data already lives.
Snowflake deployment
Option to deploy close to Snowflake to minimize latency and egress
Co-location with data
Position the self-hosted AI data gateway near warehouses and lakes
Consistent operations
Manage logs, monitoring, and upgrades through your existing tooling
Air-Gapped and Regulated Environments
DreamFactory is designed for environments where connectivity is tightly controlled or prohibited.
Air-gapped operation
Run with no direct internet connectivity for highly regulated workloads
Strict data residency
Keep data and the gateway inside specific regions or facilities
Compliance-friendly posture
Align self-hosted deployment with sector-specific rules and standards
Multi-Cloud and Hybrid Deployment
You can treat the DreamFactory on-premise AI data gateway as a single logical gateway even when it spans multiple environments.
Multi-cloud support
Deploy across more than one cloud provider as needed
Hybrid topologies
Combine on premise, private cloud, and public cloud in one design
Location-aware routing
Direct traffic to the nearest or most appropriate instance
Edge Deployment for Sites and Devices
When data and applications live at the edge, you can move the gateway there too.
Site-local gateways
Run at plants, branches, or field locations next to operational systems
Close to devices
Place the AI data gateway near IoT and industrial endpoints for local control
Central policy, local enforcement
Manage configuration centrally while enforcing policies at each edge node