Alternatives: DBOS & Inngest
To independently benchmark the runtime overhead of Catalyst, DBOS, and Inngest, what aspects of agent workflow performance should I measure without relying on vendor claims?
Measure the end-to-end latency added per agent step, the throughput for concurrent agent sessions under a controlled load, and the recovery time after forced failures. Use identical agent logic across platforms, isolating the durable execution layer’s impact. Be aware that network variations and state store back-end choices can skew results, so simulate realistic production topologies rather than ideal local environments.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Alternatives: DBOS & Inngest
How do Catalyst, DBOS, and Inngest differ in their primary product focus for running AI agent workflows?
Catalyst focuses on AI agent orchestration, DBOS on TypeScript transactional simplicity, and Inngest on event-driven serverless workflows.
- Alternatives: DBOS & Inngest
In what scenarios is DBOS a more suitable choice than Catalyst or Inngest for durable agent execution?
DBOS suits TypeScript-centric deterministic workflows with its database-native transactions, but probabilistic AI steps may need additional integration.
- Alternatives: DBOS & Inngest
What are the licensing and deployment models of Catalyst, DBOS, and Inngest, and how do they impact operational control?
Catalyst is managed, DBOS is MIT-licensed self-hosted, Inngest offers cloud and BSL-licensed self-hosted options, each with different operational control.