{"slug":"tako-vs-temporal","url":"https://tako.sh/blog/tako-vs-temporal/","canonical":"https://tako.sh/blog/tako-vs-temporal/","title":"Tako vs Temporal","date":"2026-04-19T11:38","description":"Temporal defined the durable-workflow model for a generation of backends. Tako borrows the shape but runs it embedded in the per-app server — no cluster, no Cassandra, no Elasticsearch.","author":null,"image":"89a268b31540","imageAlt":null,"headings":[{"depth":2,"slug":"at-a-glance","text":"At a glance"},{"depth":2,"slug":"what-temporal-gets-right","text":"What Temporal gets right"},{"depth":2,"slug":"where-tako-is-different","text":"Where Tako is different"},{"depth":3,"slug":"the-cluster-is-a-file","text":"The cluster is a file"},{"depth":3,"slug":"same-vocabulary-smaller-surface","text":"Same vocabulary, smaller surface"},{"depth":3,"slug":"no-per-action-meter","text":"No per-Action meter"},{"depth":2,"slug":"different-ambitions","text":"Different ambitions"}],"markdown":"Before Inngest, before Trigger.dev, before any of the JavaScript-native step-function platforms, there was <a href=\"https://temporal.io\" target=\"_blank\" rel=\"noopener noreferrer\">Temporal</a>. The Temporal team (and Cadence before it at Uber) effectively invented the durable-execution category: the idea that you can write ordinary code with sleeps, retries, and signals, and have the runtime persist every step so your business logic survives crashes, deploys, and week-long waits. Every workflow engine shipped since — including [Tako's](/blog/durable-workflows-are-here) — owes Temporal a debt.\n\nThe difference is what comes with the durability.\n\n## At a glance\n\n|                       | **Temporal**                                           | **Tako**                                 |\n| --------------------- | ------------------------------------------------------ | ---------------------------------------- |\n| **Deployment model**  | Cluster (Frontend, History, Matching, Worker)          | Embedded in `tako-server`                |\n| **Persistence**       | Cassandra, MySQL, or PostgreSQL                        | Per-app SQLite file                      |\n| **Visibility**        | Elasticsearch (advanced) or DB (basic)                 | Rows in the same SQLite file             |\n| **Workers**           | Separate fleet, any language                           | Subprocess, scale-to-zero                |\n| **Durable primitive** | `workflow.sleep`, `workflow.waitForSignal`, activities | `step.run`, `step.sleep`, `step.waitFor` |\n| **Billing (cloud)**   | $50 per million Actions                                | None — runs on your VPS                  |\n| **Open source**       | Yes, MIT (~19.7k stars)                                | Yes, part of Tako                        |\n| **Languages**         | Go, Java, TypeScript, Python, PHP, .NET, Ruby          | TypeScript and Go                        |\n\n## What Temporal gets right\n\nTemporal's credentials are not up for debate. Uber, Netflix, Stripe, Snap, Coinbase, Datadog, and a long list of other large engineering orgs run real production workloads on it. The model — determinism-enforced workflow code, activities as side-effect boundaries, event-sourced history — is rigorous in a way that younger engines still look up to. Seven first-class SDKs. A mature Web UI with powerful search. Cross-datacenter replication. Signals, queries, child workflows, schedules, batch operations. When your job is \"orchestrate tens of thousands of long-running processes across a platform team of fifty,\" Temporal is unambiguously the right answer.\n\nThe operational cost of that power is the cluster. A production self-hosted Temporal deployment is four Temporal services — Frontend, History, Matching, and Worker — plus a primary database (Cassandra, MySQL, or PostgreSQL) and, for anything beyond basic search, Elasticsearch for the visibility store. The <a href=\"https://github.com/alexandrevilain/temporal-operator\" target=\"_blank\" rel=\"noopener noreferrer\">Kubernetes operator</a> exists for a reason. That's not a knock — it's the price of a real cluster. It's just a price.\n\n## Where Tako is different\n\n### The cluster is a file\n\nTako's workflow engine runs inside `tako-server` — the same process that already handles your app's HTTP proxy, TLS, secrets, and [scale-to-zero supervision](/blog/scale-to-zero-without-containers). The \"cluster\" is one SQLite file at `{tako_data_dir}/apps/<app>/runs.db` with WAL enabled. The \"worker fleet\" is a subprocess that the supervisor spawns on demand. The \"API\" is a unix socket.\n\n```d2\ndirection: right\n\ntemporal: Temporal cluster {\n  direction: down\n\n  frontend: Frontend\n  history: History\n  matching: Matching\n  worker: Worker service\n  db: Cassandra / SQL\n  es: Elasticsearch\n\n  frontend -> history\n  frontend -> matching\n  matching -> worker\n  history -> db\n  frontend -> es\n}\n\ntako: Tako {\n  direction: down\n\n  server: tako-server\n  runs: runs.db (SQLite)\n  sub: Worker subprocess\n\n  server -> runs: persist\n  server -> sub: supervise\n}\n```\n\nOne binary, one file, one socket. [`tako deploy`](/blog/what-happens-when-you-run-tako-deploy) ships HTTP handlers and `workflows/*.ts` in the same release.\n\n### Same vocabulary, smaller surface\n\nTako's [SDK primitives](/docs/tako-toml) — `step.run` for memoized side effects, `step.sleep` for durable waits, `step.waitFor` paired with `signal`, and cron via `schedule` — cover retries, long waits, human approvals, fan-out, and scheduled jobs. That's the working set of what most apps need from a workflow engine. We deliberately skipped child workflows, queries, versioning APIs, and history replay knobs. If your system design genuinely needs those, Temporal is the correct tool.\n\n### No per-Action meter\n\nTemporal Cloud bills per Action — roughly every workflow start, signal, activity completion, and heartbeat. At $50 per million Actions, pricing is fair and predictable for the platform it is. But it's a meter that runs on every `step.run` equivalent, forever. Tako's workflow engine runs on the [$5 VPS](/blog/your-5-dollar-vps-is-more-powerful-than-you-think) you were going to pay for anyway. The marginal cost of one more workflow run is the CPU it uses.\n\n## Different ambitions\n\nTemporal is a durable-execution platform, and the cluster, the seven SDKs, and the Cloud product exist because Netflix-scale workloads actually need them. If that's your problem, go use Temporal — it will serve you well for a decade.\n\nTako is building a different thing: [the platform layer between your code and the internet](/blog/durable-channels-built-in) for teams who want backend primitives — deploy, TLS, secrets, [channels](/blog/durable-channels-built-in), workflows — without standing up a separate cluster for each one. One `tako-server` on one box. One [`tako.toml`](/docs/tako-toml). Durable is just a keyword.\n\nIf you've been running Temporal in production for years, we're not here to move you. If you've been staring at the self-host docs thinking \"I just need step retries for this side-project,\" [give Tako a try](/docs/cli)."}