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Automation Integration · head to head

Hatchet vs Hevo Data

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
Hevo Data logo

Hevo Data

Automation Integration

The easiest way to move data reliably

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.; Hevo Data billed on events ingested rather than on connectors or seats, so the bill tracks how chatty the sources are
  • They diverge on capability: Hatchet covers Postgres-backed queue, Hevo Data covers No-code pipeline builder.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Hevo Data actually diverge.

Attributes where Hatchet and Hevo Data differ
AttributeHatchetHevo Data
Pricing modelPer month by task run countusage-based
PlatformsLinux, Docker, Kubernetes, CloudWeb, Cloud
FoundedUnknown2016

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 Hevo Data

  • No-code pipeline builder
  • Real-time sync
  • Data validation
  • Error handling
  • Monitoring
  • Data transformation
  • Scheduling
  • 150+ sources

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 Hevo Data
  • A team that outgrew Celery and wants concurrency keys, fairness and rate limiting without building themnot Hevo Data
  • An engineering group that wants durable execution self-hosted with no datastore beyond the Postgres they already runnot Hevo Data
  • A multi-tenant SaaS that needs one noisy customer's jobs not to starve everyone else'snot Hevo Data

Hevo Data

  • Data pipeline and ETL managementnot Hatchet
  • Cloud data integrationnot 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.

Hevo Data

  • Billed on events ingested rather than on connectors or seats, so the bill tracks how chatty the sources are
  • The free plan allows 1M events a month and the Starter plan starts at $265 a month billed annually
  • Event volume is a priced tier inside each plan, at 5M, 20M or 50M on Starter
  • Usage above the plan quota is charged as on demand on top of the subscription, and the overage rate is not published anywhere on the pricing page
  • Paying monthly rather than annually raises Starter from $265 to $299

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

Hevo Data

Free
  • FreeFree
    • Up to 1M events/month
    • 1-hour scheduling
    • Up to 5 users
  • Starter$265/month
    • 5M-20M events/month options
    • Up to 10 users
    • 150+ connectors
  • Professional$750/month
    • 20M-100M events/month options
    • Unlimited users
    • Hevo APIs
  • Business Critical$null/month
    • Custom quote required
    • Streaming pipelines
    • Role-based access control

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 Hevo Data if

  • You need no-code pipeline builder.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want real-time sync.
Hevo Data review

Questions people ask

Is Hatchet or Hevo Data better?
Neither clearly leads. Hatchet starts at Free and Hevo Data at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Hevo Data?
Hatchet starts at Free and Hevo Data at Free.
Does Hatchet or Hevo Data run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Hevo Data runs on Web, Cloud.
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 Hevo Data is typically brought in for.
What can Hatchet do that Hevo Data cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Hevo Data covers No-code pipeline builder, Real-time sync, Data validation, Error handling.

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.

Hevo Data: How much does Hevo Data cost?

Hevo Data offers a free plan (up to 1M events/month) and paid plans starting at $265/month (Starter for 5M-20M events/month) up to $750/month (Professional for 20M-100M events/month).

Source
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.

Hevo Data: How are Hevo Data events counted?

Each record inserted, updated, or deleted in the destination counts as one event toward the monthly quota.

Source
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.

Hevo Data: Does Hevo Data offer annual discounts?

Yes, Hevo Data offers 12% discount for annual billing on all paid plans.

Source
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.

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