Replicate vs Temporal

Replicate

Temporal

Replicate · 11 features

• 10k+ Models — Public catalog of image, video, audio, LLM, embedding, speech models.
• Batch Predictions — Parallel batch execution.
• Cog — OSS tool to containerize ML models. Standard for Replicate.
• Deployments — Private model endpoints with dedicated GPUs.
• File Storage — Temporary output file hosting.
• Fine-Tuning — Fine-tune FLUX, SDXL, Llama 2/3 with your data.
• Per-Second Billing — Pay only while model runs. No idle cost for public models.
• Playground — Interactive UI for every public model.
• Predictions API — Async + sync + streaming predictions.
• Streaming Outputs — SSE streaming for LLMs + audio.
• Webhooks — Notify when predictions complete.

Temporal · 16 features

• Activities — Retryable units of work.
• Activity Retries — Declarative retry policies.
• Child Workflows — Nested workflow composition.
• Continue-As-New — Close + restart workflow to prune history.
• Nexus (cross-namespace) — Call workflows across namespaces/teams.
• Queries — Synchronous read of workflow state.
• Saga / Compensations — Rollback pattern via compensating activities.
• Schedules — Cron-like recurring workflows.
• Self-Host — Deploy cluster on your infra.
• Signals — Async messages into a running workflow.
• Timers — Durable sleeps — hours, days, months.
• Update — Synchronous RPC into workflow with validation.
• Visibility + Search Attrs — Query workflow state via Elasticsearch/native store.
• Web UI — Inspect workflow history, events, stack.
• Workflows — Durable, replayable, long-running functions.
• Workflow Versioning — Patch workflow code without breaking in-flight runs.