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Persistence mechanisms designed to cache and retrieve sequences of events for state reconstruction or subscriber synchronization.
Explore 7 awesome GitHub repositories matching data & databases · Event Stores. Refine with filters or upvote what's useful.
EventBus is a publish-subscribe messaging library designed to facilitate decoupled communication between components in Java applications. It functions as a central hub where producers dispatch events that are routed to subscribers based on the class type of the payload. By using annotation-based markers, the system maps event handlers to specific data types, allowing different parts of an application to exchange information without requiring direct references between classes. The library distinguishes itself through a focus on performance and execution control. It utilizes a compile-time inde
A memory-based persistence mechanism that caches recent events to ensure late-joining subscribers receive the latest state updates upon registration.
Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second analytical queries. It functions as a data platform featuring a distributed SQL query engine and a real-time data ingestion system for moving historical and streaming data from external sources. The system is distinguished by its ability to provide low-latency analytics under high concurrency to power operational dashboards. It implements a Kerberos-secured environment for user authentication and employs a shared-nothing cluster architecture to enable horizontal scaling. The plat
Provides a high-performance persistence mechanism specifically designed for managing and querying event-driven datasets.
PredictionIO is a machine learning server designed for the deployment of predictive models to transform raw data into actionable predictions. It manages the full lifecycle of machine learning operations, from ingesting event data via APIs to hosting production-ready predictive services for real-time inference. The system supports distributed model training by spreading computational workloads across a cluster of nodes to increase processing speed. It enables the implementation of custom prediction engines using programming languages or the application of pre-built model templates for common t
Stores user or system events to serve as high-quality training data for predictive models.
KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores application state as an immutable, ordered sequence of events rather than updating rows in place, preserving full history for audit, replay, and distributed consistency. The database combines event storage with real-time streaming and a built-in JavaScript projection engine that transforms and aggregates event streams into materialized views. The system provides official gRPC client libraries for Python, Node.js, Java, .NET, Go, and Rust, enabling multi-language application development
Persists and retrieves sequences of events for state reconstruction or subscriber synchronization.
KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores events as immutable, ordered records in streams, preserving a complete audit trail and enabling temporal queries. The database uses gRPC for all client-server and inter-node communication, providing efficient binary serialization and bidirectional streaming, and supports atomic multi-stream writes that ensure consistency across multiple streams in a single transaction. The database distinguishes itself with a built-in JavaScript projection engine that transforms, filters, and aggregates
Persists events as the single source of truth, preserving their order and structure to maintain a complete audit trail.
Akka.NET is an actor model framework used for building concurrent and distributed applications. It functions as a distributed computing platform and state manager that enables isolated actors to communicate via asynchronous message passing, ensuring thread-safe state management without manual locks. The project is distinguished by its decentralized coordination capabilities, including a distributed state manager that uses sharding and dynamic rebalancing to maintain high availability. It incorporates an event sourcing engine that persists state as a sequence of events in an append-only log an
Includes persistence mechanisms designed to retrieve sequences of events from a journal to populate read-side databases.
Livestore is a reactive state management framework that utilizes a local SQLite database to store and synchronize application data. It provides an event-sourced state store that processes typed events through materializer functions to derive and persist application state. The framework implements offline-first data synchronization using a push-pull engine and append-only event logs to maintain consistency between clients and servers. It includes a real-time presence system for tracking user activity and shared session status across connected clients. The system covers a broad capability surf
Implements a data store that persists sequences of events for state reconstruction via materializer functions.