How it works

From your data to activated.

No migration. FabriCloud deploys next to your data and weaves it in place — in four moves.

01 · Deploy

Into your environment

A data plane stands up in your cloud, VPC or data centre via Terraform or Helm. Outbound-only, no inbound ports.

02 · Connect

Sources, in place

Connect databases, warehouses, lakes, streams and SaaS. Indexed where they live — no copies.

03 · Govern

Policy as code

Access, masking and residency enforced at query time, at the source. Entity resolution builds the graph.

04 · Activate

SQL · GraphQL · MCP

Serve governed data to BI, apps and AI agents, with access enforced on every call.

1DeployProvision a data plane viaTerraform / HelmMINUTES–HOURS2ConnectIndex your sources inplace — no copiesSAME DAY3GovernPolicy-as-code + theknowledge graphONGOING, AS CODE4ActivateServe SQL · GraphQL · MCPIMMEDIATELYfabricloud.ai
Deploy → Connect → Govern → Activate
Performance & scale

Scales with your data, not against it.

Because work happens in place on your own infrastructure, FabriCloud scales with the environment it runs in. Real throughput depends on your compute and sources — these are the architectural characteristics.

Scale

Petabyte-scale

Catalog, graph and indexes scale to petabytes across many data planes.

In place

Zero-copy processing

Pushdown to source engines means data is queried where it lives, not moved.

Compute

Elastic CPU & GPU

Autoscaling pools spin up per workload and release when idle.

Concurrency

High concurrency

Designed for thousands of concurrent queries, apps and agents per data plane.

Latency

Low latency

Local execution and caching keep interactive queries and agent calls fast.

Footprint

Linear scaling

Add capacity or regions by adding data planes — no central bottleneck.

Bring the cloud to your data.

See it deployed in your own environment — analytics, apps and agents on governed data — a boundary raw data never crosses.

Start building