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Frameworks and Databases

Once you're ready to try combining Event Sourcing with AI and machine learning, the next question is: How do I start building?

While Event Sourcing is not tied to any particular technology, choosing the right tools can make implementation significantly easier – especially when you want to integrate analytical pipelines and AI workloads from the start.

Here are two components you can use to get started.

EventSourcingDB – A Database Built for Event Sourcing

EventSourcingDB is a specialized database that acts as event store and message bus in one.

It was built specifically to support:

  • Reliable storage of immutable events
  • Transactional publishing of events to subscribers
  • Projections with built-in indexing and filtering
  • Time-travel, replays, and full history retention

Unlike general-purpose databases, EventSourcingDB is focused on domain-driven, event-centric design – with features tailored to event-sourced systems from the ground up.

A great fit when event-driven architecture is central to your application.

OpenCQRS – A CQRS Framework for Java and the JVM

OpenCQRS is a lightweight, opinionated framework for building applications based on CQRS and Event Sourcing.

It helps you:

  • Structure your application around commands, events, and aggregates
  • Separate write and read models cleanly
  • Handle event persistence, publishing, and projections

OpenCQRS is designed to be modular and extensible, making it a good fit for real-world applications – from prototypes to production.

Ideal if you're building in Java, Kotlin, or any other JVM-based language.

Next up: Not sure how to apply all this in your team or project? Check out our Consulting and Workshops to see how we can help.