# Uber Cadence

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 25, 2026.

> Uber Cadence is an open-source, fault-tolerant, stateful workflow engine for Go, Java, and Python, built for long-running distributed applications. It provides event-sourced state, native task matching and queuing, and pluggable persistence across various backend storage solutions.

- Business Profile: https://optimly.ai/brand/uber-cadence
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://cadenceworkflow.io/
- Logo: https://logo.clearbit.com/cadenceworkflow.io
- Slug: uber-cadence
- Category: Distributed Workflow Orchestration Platforms
- Last Analyzed: August 25, 2026

## Buyer Intent Signals
Problems: Managing failures in distributed applications | Complex long-running workflow orchestration | Reliable task scheduling and execution | Overcoming limitations of external message queues | Ensuring fault tolerance and statefulness in distributed systems | Handling large payloads in workflow history | Testing non-deterministic changes in workflows
Solutions: Fault-tolerant workflow execution | Distributed state management | Workflow scheduling and automation | Custom workflow controls and observability | Data encryption and compression in workflow history | Deployment of workflow engines on Kubernetes and cloud platforms | Developing applications with Go, Java, or Python SDKs
Comparisons: Cadence architecture and core concepts | Best practices for Cadence workflows | Migrating from Temporal to Cadence | Cadence vs. message queues | Deploying Cadence with Helm on GKE | Implementing custom DataConverters for Cadence | Testing Cadence workflows