UnisonDB

UnisonDB is an open-source, log-native, multi-model database engineered specifically for the rigorous demands of Edge AI and high-scale distributed computing environments. It resolves the complexity of real-time data synchronization across hundreds of distributed nodes by unifying durable storage, message streaming, and replication into a single, cohesive architecture. Deploy UnisonDB to ensure your edge applications and AI agents have instant, consistent access to data right where computation happens, minimizing latency and reducing cloud dependencies.

Key Features

UnisonDB combines high-performance storage, real-time replication, and an edge-native design to efficiently power demanding distributed workloads.

• ⚡ Real-Time Streaming Replication: Leveraging a Write-Ahead Log (WAL) based system, UnisonDB provides near-instantaneous fan-out replication, reliably synchronizing data across 100+ edge replicas with sub-second latency. This ensures data consistency is maintained even across highly distributed nodes.
• ⚙️ Flexible Multi-Model Storage: Design your data schema the way your application demands. UnisonDB natively supports Key-Value (KV), Wide-Column, and Large Object (LOB) data models within a single instance, eliminating the need to manage multiple specialized database systems.
• 🛡️ Isolated Multi-Tenancy (Namespaces): Built from the ground up for shared infrastructure, UnisonDB uses namespaces to create fully isolated logical databases for each tenant. Each namespace maintains its own WAL, storage tree, and replication stream, guaranteeing strong security and fault isolation across applications.
• 🚀 Durable, High-Performance Core: The system is backed by a high-performance B+Tree storage engine and ensures crash-safe writes and strong consistency through persistent WAL-based durability. This architecture provides the speed required for real-time applications without sacrificing reliability.

Use Cases

UnisonDB excels in distributed, edge-first architectures where data and computation must be co-located to minimize network latency and enable real-time responsiveness at scale.

Edge AI Inference with Centralized State

Use a central or regional UnisonDB hub to store critical state data, such as feature vectors, user profiles, and model inputs. This state is then replicated directly to edge nodes. Edge services can perform high-speed, local inference against this replicated data, delivering low-latency responses without requiring repeated, high-latency calls back to a core cloud database.

Event-Driven Microservices and Reactive State

UnisonDB functions simultaneously as a durable database and a reactive state store. Microservices can subscribe directly to change streams (via the WAL core) to react instantly to data updates without the operational complexity and latency introduced by integrating an external message bus or Change Data Capture (CDC) pipeline.

Real-Time Feature and Policy Distribution

Centralize global AI models, risk scores, and policy rules within UnisonDB. Use its robust WAL-based replication to stream updates instantly and consistently to all edge locations. This ensures that every edge node operates with the latest configuration and thresholds, enabling immediate, deterministic behavior changes close to the point of action.

Why Choose UnisonDB?

UnisonDB’s log-native architecture and edge-first design deliver tangible operational and performance advantages over traditional database and streaming setups.

• Operational Simplicity Through Unification: By merging a B+Tree storage engine with WAL-based streaming, UnisonDB eliminates the traditional boundary between the database and the application layer. You no longer need separate message buses (like Kafka) or complex CDC pipelines to synchronize data, drastically simplifying your distributed architecture.
• Scale and Consistency for the Edge: Unlike systems optimized only for the datacenter, UnisonDB is purpose-built to handle hundreds of geographically distributed edge nodes. It maintains strong durability and consistency while enabling sub-second fan-out replication, ensuring reliability at a scale crucial for modern IoT and Edge AI deployments.
• True Data Locality and Resilience: The Edge-First Architecture allows for near-device computation, reducing dependency on constant cloud connectivity. When deployed as a durable local cache, it provides WAL-backed persistence, ensuring that cached state survives restarts and remains globally synchronized—a critical capability often missing in non-durable cache solutions like Redis or Memcached.

Conclusion

UnisonDB provides the foundation for building highly reactive, reliable, and localized applications necessary for the next generation of Edge Computing and distributed AI. Its unique log-native core delivers the speed of a message bus with the consistency and durability of a database, ensuring your data is always exactly where you need it, when you need it.

Explore how UnisonDB can simplify your distributed architecture and accelerate your Edge AI deployment.