kurrentdb

KurrentDB NodeJS Client

Samples showing practical aspect of KurrentDB & Event Sourcing

KurrentDB Java Client

KurrentDB Rust Client

KurrentDB Go Client

An ecommerce system that highlights event-driven design, architecture, and implementation details. Uses the event-native database EventStoreDB. For those new and experienced to event-driven architecture, event sourcing, and distributed systems.

Replicate data between KurrentDb (former EventStore) instances

Event Sourcing in Go

Terraform Provider for Kurrent Cloud

Event Sourcing library for Go — port of Eventuous

EventStoreDB NestJS CQRS module

DDD, Event Sourcing, and CQRS primitives for Swift — bridging the missing building blocks for production-grade Server-Side Swift backend architecture.

Performance bridge for KurrentDB Node.js client using Rust native addons via Neon

The Wallet Service is a digital wallet system that allows creating wallets linked to holders and transferring balances between them.

Demonstrates Event Sourcing pattern in a .NET application using KurrentDB (EventStoreDB successor) for event storage and data consistency. Includes an example of how to persist, replay, and project domain events using modern .NET practices.

Este proyecto es una PoC de Payment Processing. Implementa una arquitectura basada en Domain-Driven Design, Arquitectura Hexagonal, CQRS,Event Sourcing y un modelo de actores inspirado en DomoActors para procesar comandos de forma secuencial por agregado.

PayIt is a modern financial transaction processing platform that leverages event sourcing and CQRS (Command Query Responsibility Segregation) patterns to provide a robust, scalable, and auditable distributed ledger system. The system is designed to handle high-throughput financial operations while maintaining complete transaction history .

Simple loans application sample using Event Sourcing, KurrentDB and .NET Aspire.

Razor Pages POC that reconstructs IIIF Manifests from KurrentDB event streams, with replayable domain events, SDK ChangeSet audit metadata, historical revisions, optimistic concurrency, and version-aware export.

Reference implementation for the book Event Sourcing & CQRS by Thomas Jaeger