{
  "slug": "uber-cadence",
  "name": "Uber Cadence",
  "description": "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.",
  "url": "https://optimly.ai/brand/uber-cadence",
  "websiteUrl": "https://cadenceworkflow.io/",
  "logoUrl": "https://logo.clearbit.com/cadenceworkflow.io",
  "baiScore": null,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": null,
  "archetype_status": "active",
  "category": "Distributed Workflow Orchestration Platforms",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-08-25T09:18:56.509Z",
  "verifiedVitals": {
    "website": "https://cadenceworkflow.io",
    "category": "open-source workflow engine",
    "what_it_does": "Cadence is an open-source, self-hostable workflow engine for Go, Java, and Python, designed for durable, fault-tolerant, stateful, and long-running distributed applications. It simplifies the complexity of distributed systems by handling concerns like reliability, scalability, and observability, allowing developers to focus on business logic. It manages asynchronous tasks, including periodic scheduled executions, and is efficient at handling latency-insensitive tasks. It supports scalable storage backends such as Cassandra, PostgreSQL, MySQL, and OpenSearch.",
    "primary_audience": "Developers and organizations building and managing high-scale, durable, available, and scalable distributed applications and mission-critical workflows. It is ideal for large enterprises or companies anticipating substantial growth.",
    "core_product": "The Cadence workflow engine",
    "pricing_model": {
      "kind": "free",
      "detail": "Cadence is available as free and open-source software."
    },
    "named_competitors": [
      "Temporal",
      "SQS",
      "RabbitMQ"
    ]
  },
  "intentTags": {
    "problemIntents": [
      "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"
    ],
    "solutionIntents": [
      "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"
    ],
    "evaluationIntents": [
      "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"
    ]
  },
  "businessProfileClaims": [],
  "timestamp": 1787723476304
}