Softwr

Automation Integration · head to head

Airbyte vs Hatchet

Airbyte logo

Airbyte

Automation Integration

The open-source ELT platform

From
Free
Rated
-
Full reviewWebsite
Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Airbyte the self-managed open source Core edition has no SSO or RBAC, no multiple workspaces, no row filtering or encryption, and no monitoring integrations; 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.
  • They diverge on capability: Airbyte covers Data replication, Hatchet covers Postgres-backed queue.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Airbyte and Hatchet actually diverge.

Attributes where Airbyte and Hatchet differ
AttributeAirbyteHatchet
Pricing modelsubscriptionPer month by task run count
PlatformsWeb, Self-hostedLinux, Docker, Kubernetes, Cloud
Founded2020Unknown

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 Airbyte

  • Data replication
  • Schema detection
  • ELT pipelines
  • Real-time sync
  • Data transformation
  • Monitoring
  • Custom connectors
  • 300+ connectors

Only in Hatchet

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

What people use each for

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

Airbyte

  • Data integrationnot Hatchet
  • ETL operationsnot Hatchet
  • API data synchronizationnot Hatchet
  • Data warehouse populationnot Hatchet
  • Real-time data replicationnot Hatchet

Hatchet

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

Where each one falls short

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

Airbyte

  • The self-managed open source Core edition has no SSO or RBAC, no multiple workspaces, no row filtering or encryption, and no monitoring integrations
  • Sync frequency on Core is limited compared with the managed tiers, which offer 15 minute syncs
  • Support on the free tier is community and AI only; premium support requires Pro or Enterprise
  • The free Agents plan stops at 1,000 agent operations a month and pauses capacity until the next month once hit
  • Agent overages are billed per operation at $0.004 to $0.005 once past the plan allowance

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.

Pricing, plan by plan

Airbyte

Free
  • FreeFree
    • 1,000 Agent Operations monthly
    • Single user access
    • API and MCP access
  • Individual$29/month
    • 5,000 Agent Operations monthly
    • Hourly Context Store refresh
    • Standard and AI support
  • Team$299/month
    • 10,000 Agent Operations monthly
    • Parallel workflow execution
    • Multiple users

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

Which should you pick?

Choose Airbyte if

  • You need data replication.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want schema detection.
Airbyte review

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

Questions people ask

Is Airbyte or Hatchet better?
Neither clearly leads. Airbyte starts at Free and Hatchet at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Airbyte or Hatchet?
Airbyte starts at Free and Hatchet at Free.
Does Airbyte or Hatchet run on more platforms?
Airbyte runs on Web, Self-hosted. Hatchet runs on Linux, Docker, Kubernetes, Cloud.
Can I use Airbyte for free?
Both have a free tier, so you can try either at no cost before committing.
What is Airbyte best used for?
Airbyte is most often used for data integration, etl operations, api data synchronization, data warehouse population. Of those, data integration and etl operations are not what Hatchet is typically brought in for.
What can Airbyte do that Hatchet cannot?
Airbyte covers Data replication, Schema detection, ELT pipelines, Real-time sync. Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness.

Answered from the vendors’ own pages

Airbyte: Is Airbyte free to use?

Yes, Airbyte offers a free tier with 1,000 Agent Operations monthly, single user access, API and MCP support, and community/AI assistance.

Source
Hatchet: Is Hatchet open source?

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

Airbyte: What does the Team plan include?

The Team plan costs $299/month and includes 10,000 Agent Operations monthly, parallel workflow execution, multiple users, standard and AI support, with overages charged at $0.005 per AO.

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.

Airbyte: What happens if I exceed my monthly Agent Operations limit?

Overages are charged at $0.004 per AO on the Individual plan and $0.005 per AO on the Team plan, allowing you to exceed your quota as needed.

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.

Airbyte: Does Airbyte offer data replication pricing?

Yes. Airbyte Data Replication starts at $10/month on the Standard plan with 600+ connectors. Pro and Enterprise plans use custom capacity-based pricing with Data Workers and dedicated support.

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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