Platform for CQRS/Event Sourcing
Splitet is a platform for Event Sourcing and CQRS to build scalable event-driven and eventual consistent systems.
Developer-friendly transition to CQRS
Learning curve for CQRS/Event-Sourcing is usually high. Splitet provides a standard approach for the common problems in that domain.
Splitet provides a production-ready platform for CQRS/Event-Sourcing which already works in production environments for more than three years.
Build an event-driven system where you can scale your business for the peaks and unexpected loads.
Upscaling your RDBMS databases and servers need investment on both infrastructure and licenses. Invest in Splitet, to solve your problems on software layer.
Build a distributed architecture which cannot crash completely.
Splitet is an open source project on GitHub which is beneficial to get feedbacks for different use-cases.
Transition to an event sourcing system also needs a cultural shift. We built Splitet considering that requirement, working with developers side to side.
Our team have intensive knowledge to build scalable systems by CQRS/Event Sourcing. We will help you to succeed with Splitet.
Are you interested to contribute Splitet project? Join to our team!
Splitet has been evolving from 2017 in production workloads. This helped us to experiment with several approaches for common problems like snapshots, rollbacks, eventual-consistency and many more...
Unique architecture called Operation Store™ together with the stack elements including Kafka, Hazelcast and Cassandra.
Complying with native AWS services like MSK and Keyspaces.
SAGA Pattern is applied in the framework which provides stability.
Snapshots and Rollbacks
Standardised approach for snapshots and rollbacks.
Monitor your distributed architecture to identify the patterns and creating visibility on the architecture.
Guarantee the consistency by not necessarily relying on strong-consistency everywhere.
Join with us in a live coding session where you can experience the easiness to code CQRS/Event Sourcing.