Replication-first
Anywhere-to-anywhere synchronization
Stornamics is built around asynchronous replication events that can move data across products, sites, and environments.
Architecture overview
Our Technology
Stornamics is built for distributed data operations. The platform combines replication-first infrastructure, flexible deployment topology, and product layers for workflows, governance, and scale.
Deployment flexibility
Cloud, on-premise, or hybrid
The same platform model supports managed environments, local infrastructure, and mixed topologies.
Operator control
Sites, zones, and workflows
Teams can shape data placement, retention, performance, and event-driven automation around real operating needs.
Core engine
Replication Engine
The Stornamics replication engine is the foundation of the platform. It captures database change history as replication events so data can be synchronized across cloud services, local environments, and distributed production sites.
- Asynchronous replication model built for distributed environments.
- Event history preserves how database state changes over time.
- Supports everything from managed cloud usage to multi-site, high-availability deployments.
Coordination layer
Configuration, identity, and node awareness
Beyond replication, the Stornamics service coordinates discovery, configuration, authentication, and authorization so nodes can operate together without forcing all traffic through a central point.
- Centralized administration for adding, removing, and reconfiguring nodes.
- Direct node-to-node replication where network design allows it.
- Automatic resynchronization when disconnected systems reconnect to the internet.
Topology control
Sites & Zones
Stornamics gives teams flexibility in how they structure deployments. Customers can define sites and zones that reflect geography, retention needs, analytics workloads, production resilience, and regulatory requirements.
- Start from either a managed cloud database or a local deployment.
- Keep different retention windows or copies in different locations.
- Support separate operational and analytics copies without inventing custom data movement layers.
Scale path
Hierarchy and horizontal scale
As deployments grow, zones can contain multiple servers for horizontal scaling and parallel query execution. The same topology model can also support different product mixes, compliance boundaries, or performance tiers.
- Multiple servers per zone for larger data footprints.
- Parallel querying across zones as workloads expand.
- Useful for both enterprise-scale growth and specialized environment segmentation.
Workflow automation
EdgeCompute
EdgeCompute is the memory-optimized workflow engine for responding to replication events in real time. It reduces the need for bespoke pre-processing pipelines by letting teams trigger actions directly from data changes.
- Supports trigger patterns such as keyword matches, thresholds, and file-path events.
- Keeps data processing closer to the underlying data lifecycle.
- Available in cloud deployments with room for deeper on-premise customization.
Protection layer
Guardian
Guardian extends the platform with privacy and security controls. It scans incoming data for PII and other issues while helping teams classify data and improve governance across replicated environments.
- Continuous scanning for sensitive patterns and security concerns.
- Automatic classification support for better data organization.
- Designed to strengthen compliance and security visibility without leaving the core workflow.
