
Bruinen Delta
A local-first database, built for the edge

Description
Bruinen Delta is an advanced distributed SQLite database meticulously designed for the demands of edge computing environments. It can be deployed seamlessly across a diverse range of hardware, from microprocessors and mobile phones to servers and cloud infrastructure. This system provides the essential data foundation for edge AI and machine learning (AI/ML) workflows, significantly streamlining the engineering efforts typically required for such distributed setups.
By replacing complex components like message queues, caches, and retry mechanisms, Bruinen Delta simplifies distributed edge communication with a direct SQL database interface. It vigilantly maintains data synchronization across all networked devices, functioning effectively with or without a persistent cloud connection. This architecture ensures that devices remain operational during network disruptions and automatically reconcile their data changes once connectivity is restored, fostering robust data integrity and uninterrupted performance.
Key Features
- SQLite Interface: Utilizes the familiar SQL syntax across web, embedded, server, or phone environments.
- Transport Agnostic: Operates over various networks including WiFi, LAN, Bluetooth, LoRaWAN, or satellite.
- Conflict-Free Replication: Employs CRDTs to ensure data convergence and prevent data loss for offline nodes.
- Flexible Network Topology: Supports full peer-to-peer networks, as well as gateways and client/server models.
- Local Data Storage: Stores data locally on devices for near-instantaneous read/write access, often taking 0ms.
- Offline Operation and Synchronization: Allows devices to work offline and automatically synchronizes changes upon reconnection.
- Enhanced Edge Security: Reduces sensitive data movement by enabling AI/ML workflows to operate on local data, broadcasting only results.
Use Cases
- Developing edge AI/ML applications with local data processing.
- Managing data in distributed edge computing environments with unreliable connectivity.
- Building resilient IoT systems that require offline functionality and data synchronization.
- Simplifying data architecture for applications deployed on microcontrollers, phones, and servers.
- Ensuring data consistency across a fleet of edge devices without complex engineering overhead.
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