---
title: "Blog | Cyoda"
description: "Technical articles on stateful systems, entity databases, and financial workflow engineering from the Cyoda team."
canonical: https://cyoda.com/blog
---

# Developer Insights & Updates

Stay up to date with the latest in application development, AI-powered tools, and industry best practices.

Featured

## Entity Workflows for Event-Driven Architectures

dive into the details of \*Entity Workflows\* and show how an EDBMS naturally leads to a horizontally scalable event-driven architecture (EDA). The goal being to greatly simplify things, where the applications become “thin clients” of a platform

Paul Schleger2024-05-0110 min read

![Entity Workflows for Event-Driven Architectures](/images/blogs/Entity_Workflows_EDA.webp)

![LLM’s Can Get You to a Demo Fast. In Fintech, After That It Gets Hard.](/images/blogs/vibing-to-the-wall.png)

Informative

### LLM’s Can Get You to a Demo Fast. In Fintech, After That It Gets Hard.

Vibe Coding can get you to a working MVP in a few weeks. But in fintech , the real test begins after the demo. This article explores why fast AI-generated builds often hit a wall when faced with real-world iteration, compliance, and due diligence and what semi-technical and non-technical founders need to put in place early to avoid painful rewrites later.

Patrick Stanton2026-03-057 min read

![When Transactions Meet Workflows: Building Reliable Systems With Much Less Glue Code](/images/blogs/when_transactions_meet_workflows.png)

Architecture

### When Transactions Meet Workflows: Building Reliable Systems With Much Less Glue Code

Most enterprises build reliable systems by stitching together databases, message brokers, and workflow engines. Cyoda offers a unified core where transactions, entity lifecycles, and point-in-time querying share one consistency model — so teams write less integration code and spend less time reconciling state across tools.

Patrick Stanton2026-02-196 min read

![Cyoda vs. the Alternatives: A Platform Comparison for Technical Decision-Makers](/images/blogs/comparison_overview.png)

Platform

### Cyoda vs. the Alternatives: A Platform Comparison for Technical Decision-Makers

How Cyoda compares to workflow engines, databases, cloud-native orchestrators, data platforms, and AI developer tools — and where it fits in your stack.

Cyoda Team2026-02-188 min read

![A Technical Description of the Cyoda Platform](/images/blogs/tech_description.png)

Platform

### A Technical Description of the Cyoda Platform

This is a deep-dive technical reference for the Cyoda Platform (see https://cyoda.com), a distributed, transactional data-processing system built to support high-availability business applications. It outlines the architecture and mechanics of the Cyoda Platform Library (CPL), 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.

Paul Schleger2025-05-2918 min read

![Entity Workflows for Event-Driven Architectures](/images/blogs/Entity_Workflows_EDA.webp)

Platform

### Entity Workflows for Event-Driven Architectures

dive into the details of \*Entity Workflows\* and show how an EDBMS naturally leads to a horizontally scalable event-driven architecture (EDA). The goal being to greatly simplify things, where the applications become “thin clients” of a platform

Paul Schleger2024-05-0110 min read

![What’s an Entity Database?](</images/blogs/Illustration of an Entity Database Management System \(EDBMS\).webp>)

Platform

### What’s an Entity Database?

An entity database is not just another way of storing rows and columns. It is designed around the concept of entities—real-world objects like customers, transactions, or devices—capturing their full lifecycle and every event that shapes them. Unlike traditional relational databases, entity databases maintain a complete, auditable history while still enabling real-time queries and complex workflows. This makes them ideal for businesses that need consistency, scalability, and transparency in handling data-intensive applications.

Paul Schleger2024-04-2410 min read

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