Self-hosting Snowflake means running Snowflake’s Private Edition in your own cloud VPC so you control data locality, networking, and compliance.
Self-hosting places Snowflake inside your own AWS, Azure, or GCP VPC, giving you tighter network control, regulatory compliance, and the ability to co-locate compute with existing workloads.
Bring an enterprise Snowflake license, a supported cloud account, at least three availability zones, private subnets, and IAM roles that allow creation of load balancers, EC2/VM instances, and object storage buckets.
Create a dedicated VPC/VNet, private subnets, security groups, and route tables that block public ingress.
Run the Snowflake-supplied Terraform module.It spins up metadata services, storage integrations, and the first virtual warehouse fleet.
Create a private hosted zone (e.g., snowflake.acme.internal
) and upload SSL certificates so clients can resolve myaccount.snowflake.acme.internal
.
After connecting with Snowsql, run the DDL in the next section to build Customers
, Orders
, Products
, and OrderItems
.
Restrict inbound traffic to corporate CIDRs, enable Network Policies, rotate master keys, and assign least-privilege roles for admins, analysts, and CI/CD pipelines.
Integrate Snowflake’s telemetry with CloudWatch, Azure Monitor, or Stackdriver.Auto-resume/auto-suspend warehouses and adjust warehouse sizes based on query queue length KPIs.
Check the SNOWFLAKE.WH_MONITOR
view for blocked queries, verify DNS resolution, and inspect cloud load-balancer health checks if clients cannot connect.
.
Query latency is similar because the core engine is identical. Network-heavy operations may be faster if your data already lives in the same VPC.
Yes. Many companies keep regulated data in a Private Edition account and less sensitive data in the public SaaS edition, using Database Replication to sync selected objects.
Snowflake pushes version updates automatically during the maintenance window you define. No manual patching is required.