The Cyoda Application Platform
An event driven stateful entity database.The Cyoda Application Platform enables thin, state-driven, process-oriented systems by abstracting away architectural complexity.
Try for FreeLearn more
What is the Cyoda Application Platform?
Cyoda is built on Cassandra
The platform handles the mechanics and non-functional aspects of building operational backend services. It provides a cohesive application platform with built-in data processing and database, reduces moving parts and simplifies IT architecture. This allows you to focus on core business functionality.
The Application Platform enhances AI-driven development by enabling functional decomposition, allowing AI to break down complex problems into small, discrete, testable units of code. This approach improves modularity, maintainability, and automation in the software development process.
Event Driven Architecture  EDA
Cyoda’s Application Platform is an event-driven architecture, enabling real-time, reactive systems. Events are generated when entities change state, workflows progress, or processes execute, allowing decoupling of processing and integration with other services.

This architecture ensures scalability, responsiveness, and flexibility. Cyoda was created for data-intensive, distributed, and event-driven applications.
Real-time event streaming for high-performance applications.
Stateful event processing tied to entity workflows.
Trigger actions, notifications, or external services dynamically.
Entity Database
Cyoda’s horizontally scalable Entity Database is designed for high-performance data storage and manipulation, allowing developers to work with business objects naturally—without the need for a mapping layer. Unlike traditional relational databases, Cyoda’s Entity Database stores and processes data as structured business objects while maintaining full historical point-in-time retrieval, allowing for auditability and time-sensitive operations.
Horizontally Scalable
Scales efficiently to handle large data volumes and complex workloads.
Transactionally Consistent
Ensures data integrity through database-level transactions.
Database Icon
SQL Query Support
Execute distributed SQL queries for high-performance analytics.

Flexible data input
Flexible Data Output
Stream real-time data or generate static reports as needed.


Point-in-Time Retrieval
Access historical states of data without complex versioning.
SQL Query Support
Execute distributed SQL queries for high-performance analytics.
Flexible Data Output
Stream real-time data or generate static reports as needed.
By eliminating the traditional object-relational mapping layer, Cyoda’s Entity Database simplifies development while providing powerful querying, scalability, and consistency—all essential for building data-driven, event-driven, and highly scalable enterprise applications.
Workflow allows complex logic to be decomposed allowing for easier human and AI application creation, evolution and maintenance.
Stateful Processing with Workflow
Cyoda’s Application Platform provides built-in support for stateful processing with workflows, allowing developers to define entity states, transitions, rules, and automated processes with precision. Each entity type can have multiple workflows, enabling different lifecycle paths depending on context or business requirements.
‍
These workflows track the state of an entity, manage transitions between states, and enforce rules that govern when and how entities progress through a workflow. When an entity enters a state with an associated process, the platform automatically executes the corresponding unit of code. These processes can handle data transformations, integrations, calculations, or external interactions, making automation seamless and efficient.
With Cyoda, you can:
 Define multiple workflows
Define multiple workflows for each entity type, ensuring flexibility across different use cases.
Control entity states and transitions
Control entity states and transitions with clear, rule-driven automation.
Trigger processes dynamically
 Trigger processes dynamically when an entity reaches a specific state
Reduce complexity
Reduce complexity by managing workflow logic declaratively.
Ensure consistency and reliability
Ensure consistency and reliability in stateful, event-driven applications.
This approach simplifies the development of state-aware, process-driven systems, making Cyoda an ideal platform for financial applications, process automation, and data-intensive services.
Latest Post
Technical Description

A deep-dive technical reference for the Cyoda Platform. This article outlines the architecture and mechanics of the Cyoda Platform Library, which includes asynchronous transactional workflows, point-in-time querying with snapshot isolation, distributed report execution, and event-context sharding. Designed for developers familiar with distributed systems, the document emphasizes low-level design decisions, like extended ACID semantics, integration with Cassandra and Zookeeper, and client-extensible workflows.

Company
Careers
Blog
Service
Pricing
Docs
Case study
Follow us
Copyright © 2025 CYODA Ltd. All rights reserved
Privacy PolicyCookie Policy (EU)
Terms of Service