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Automation Integration · head to head

Hatchet vs Meltano

Hatchet logo

Hatchet

Automation Integration

Postgres-backed distributed task queue and workflow engine for Python, TypeScript and Go

From
Free
Rated
-
Full reviewWebsite
Meltano logo

Meltano

Automation Integration

Open source ELT built on the Singer tap and target ecosystem, configured as code

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Hatchet postgres as the queue backend simplifies operations but sets a throughput ceiling, and very high task rates require database tuning or partitioning work that a purpose-built queue would not demand.; Meltano the company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.
  • They diverge on capability: Hatchet covers Postgres-backed queue, Meltano covers Singer plugin management.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Meltano actually diverge.

Attributes where Hatchet and Meltano differ
AttributeHatchetMeltano
Pricing modelPer month by task run countOpen source, no licence fee
PlatformsLinux, Docker, Kubernetes, CloudLinux, macOS, Docker, Windows (via WSL)

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Automation Integration).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Hatchet

  • Postgres-backed queue
  • Durable execution
  • DAG workflows
  • Concurrency and fairness
  • Rate limiting
  • Cron and scheduling
  • Multi-language SDKs
  • Self-hosting

Only in Meltano

  • Singer plugin management
  • Project as code
  • Environments
  • Incremental state
  • dbt integration
  • Custom taps
  • Orchestrator hooks
  • Container deployment

What people use each for

The jobs each tool is most often brought in to do.

Hatchet

  • An AI product running long agent pipelines that must survive worker restarts and resume mid-workflownot Meltano
  • A team that outgrew Celery and wants concurrency keys, fairness and rate limiting without building themnot Meltano
  • An engineering group that wants durable execution self-hosted with no datastore beyond the Postgres they already runnot Meltano
  • A multi-tenant SaaS that needs one noisy customer's jobs not to starve everyone else'snot Meltano

Meltano

  • A data team that wants to stop paying per-row connector fees on high-volume sources they can extract themselvesnot Hatchet
  • Loading from an API that no commercial ELT vendor supports, by writing a tap with the Meltano SDKnot Hatchet
  • Keeping pipeline configuration in the same Git repository and review process as the rest of the platform codenot Hatchet
  • A regulated environment where extraction must run inside your own network with no data passing through a vendornot Hatchet

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Hatchet

  • Postgres as the queue backend simplifies operations but sets a throughput ceiling, and very high task rates require database tuning or partitioning work that a purpose-built queue would not demand.
  • Data retention on the managed tiers is three days on Team and seven on Scale, which is short for debugging intermittent failures and forces you to export run history elsewhere.
  • The step from the free tier to Team is 500 US dollars a month plus usage, which is a large increment for a small team that simply needs a production SLA.
  • Hatchet is a young company in a category with Temporal, Inngest and cloud-native alternatives already established, so ecosystem, hiring pool and third-party material are all thin.
  • Self-hosting the MIT engine is realistic but you then run the engine, its Postgres and its workers yourself, and the managed features such as audit logs and support are not part of that.

Meltano

  • The company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.
  • Singer connector quality varies enormously; a tap may be maintained, abandoned, or maintained only for the subset of endpoints its original author needed, and you will not know which until a schema change breaks a load at 3am.
  • There is no managed hosting from the project itself, so someone on your team owns scheduling, secrets, retries, alerting and upgrades, which is real headcount that a per-row SaaS bill was buying for you.
  • It is command-line and YAML first with no meaningful web interface, so analysts who are not comfortable in Git and a terminal cannot maintain pipelines themselves.
  • Debugging spans three layers, the tap, Meltano itself and the target, and each has its own logging conventions, so failures often require reading Python source in a third-party connector.

Pricing, plan by plan

Hatchet

Free
  • DeveloperFree
    • First 100,000 task runs included
    • $10 per million task runs after
    • No card required
  • Team$500/month
    • Usage billed on top of the base fee
    • 10 users and 5 tenants
    • 3 day data retention
  • Scale$1000/month
    • Unlimited users and tenants
    • 7 day data retention
    • Audit logs
  • Enterprise$undefined/year
    • 300 million plus runs a month
    • Latency guarantees and custom SLAs
    • SSO and audit logging

Meltano

Free
  • MeltanoFree
    • MIT licensed, self-hosted
    • No paid Meltano Cloud tier; it was retired before the company wound down
    • Community support via Slack and GitHub

Which should you pick?

Choose Hatchet if

  • You need postgres-backed queue.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Cloud.
  • You also want durable execution.
Hatchet review

Choose Meltano if

  • You need singer plugin management.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Windows (via WSL).
  • You also want project as code.
Meltano review

Questions people ask

Is Hatchet or Meltano better?
Neither clearly leads. Hatchet starts at Free and Meltano at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Meltano?
Hatchet starts at Free and Meltano at Free.
Does Hatchet or Meltano run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Meltano runs on Linux, macOS, Docker, Windows (via WSL).
Can I use Hatchet for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hatchet best used for?
Hatchet is most often used for an ai product running long agent pipelines that must survive worker restarts and resume mid-workflow, a team that outgrew celery and wants concurrency keys, fairness and rate limiting without building them, an engineering group that wants durable execution self-hosted with no datastore beyond the postgres they already run, a multi-tenant saas that needs one noisy customer's jobs not to starve everyone else's. Of those, an ai product running long agent pipelines that must survive worker restarts and resume mid-workflow and a team that outgrew celery and wants concurrency keys, fairness and rate limiting without building them are not what Meltano is typically brought in for.
What can Hatchet do that Meltano cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Meltano covers Singer plugin management, Project as code, Environments, Incremental state.

Answered from the vendors’ own pages

Hatchet: Is Hatchet open source?

Yes, the engine is MIT licensed and can be self-hosted, with a managed cloud offered alongside.

Meltano: Is Meltano still maintained after the company shut down?

Yes. Arch, formerly Meltano, was acquired by Matatika in December 2025 and the open source project continues under their stewardship, with releases through 2026.

Hatchet: What does it cost?

Free for the first 100,000 task runs, then 10 US dollars per million. Team is 500 US dollars a month plus usage; Scale is 1,000.

Meltano: Is there a hosted Meltano?

Not from the project. Meltano Cloud was retired, and hosting now comes from Matatika or from running the container yourself.

Hatchet: Why Postgres as the queue?

So durable task state lives in a database your team already backs up, replicates and can inspect with SQL, instead of a second system.

Meltano: How does it compare on cost with Fivetran?

Meltano has no licence fee, so the comparison is your engineering time versus Fivetran's per-monthly-active-row billing. High-volume, low-complexity sources favour Meltano; long tails of fiddly SaaS APIs favour Fivetran.

Hatchet: How does it compare with Temporal?

Lighter to adopt and operate, with a much smaller ecosystem and a lower throughput ceiling from the Postgres backend.

Meltano: Can I use Airbyte connectors with it?

Yes, Meltano can run Airbyte source connectors through a bridge, which widens the connector pool beyond Singer taps.

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