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Deployment Modes

HyperMesh supports two deployment modes that can be used independently or together in a hybrid pattern.

“Reason in seconds. Data stays in place.”

The Virtual Hypergraph Engine compiles hypergraph patterns into optimized native SQL/API queries and pushes compute down to existing data warehouses (Snowflake, Databricks) or clinical systems (Epic, Cerner).

AspectDetail
LatencySeconds (batch)
Data movementZero-copy — data never leaves the source
GovernanceInherits existing warehouse RBAC and audit logs
Best forRetrospective screening, batch enrichment, compliance-sensitive workloads
hypermesh.yaml
mode: virtual
sources:
- type: snowflake
account: "org-account"
warehouse: "COMPUTE_WH"
database: "SECURITY_EVENTS"
schema: "RAW"
- type: databricks
host: "adb-123456.azuredatabricks.net"
token_env: "DATABRICKS_TOKEN"
catalog: "main"

“Act in milliseconds. Full compute surface.”

Data is ingested into HyperMesh’s binary indexes (TPI/FMI/PSI) for sub-millisecond temporal range queries and real-time analytics.

AspectDetail
LatencyMicroseconds to low milliseconds
Data movementIngested into local binary indexes
ComputeFull hypergraph algorithms, streaming analytics
Best forReal-time alerting, live clinical decision support, streaming threat narratives
hypermesh.yaml
mode: native
storage:
dir: /data/hypermesh
bucket_seconds: 60
ttl_days: 90
autocompact:
threshold: 10000
interval_seconds: 300

Enterprise customers typically use both modes together:

  1. Virtual for exploration and batch analysis — query existing data without migration
  2. Native for real-time production — ingest high-velocity streams for sub-millisecond alerting
┌─────────────────────────────────────────────────┐
│ HyperMesh Engine │
├────────────────────────┬────────────────────────┤
│ Virtual Mode │ Native Mode │
│ (Snowflake, Epic) │ (Binary Indexes) │
│ Batch enrichment │ Real-time alerting │
│ Retrospective scan │ Live dashboards │
└────────────────────────┴────────────────────────┘

See the Docker guide for container images, Compose files, and Kubernetes manifests.

HyperMesh Cloud will offer fully managed deployments with:

  • Auto-scaling based on query load
  • Multi-region replication
  • Managed backups with point-in-time recovery
  • SOC 2 and HIPAA compliance built-in

Contact sales@hypermeshai.com for early access.