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Automation Integration · head to head

Fivetran vs Hatchet

Fivetran logo

Fivetran

Automation Integration

The most trusted data movement platform

From
Free
Rated
-
Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-

The short version

  • Each has a real cost: Fivetran billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried; 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: Fivetran covers Automated data pipeline, Hatchet covers Postgres-backed queue.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Fivetran and Hatchet actually diverge.

Attributes where Fivetran and Hatchet differ
AttributeFivetranHatchet
Pricing modelusage-basedPer month by task run count
PlatformsWeb, CloudLinux, Docker, Kubernetes, Cloud
Founded2012Unknown

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 Fivetran

  • Automated data pipeline
  • Change Data Capture
  • Data transformation
  • Real-time sync
  • Monitoring
  • Data quality
  • Scheduling
  • Notifications

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.

Fivetran

  • Managed data pipelines from SaaS sources into a warehousenot Hatchet
  • Keeping a warehouse in sync with production databases without writing connectorsnot Hatchet

Hatchet

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

Where each one falls short

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

Fivetran

  • Billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried
  • Each connection follows its own cost curve, so total spend is hard to predict before running a pipeline
  • The free plan allows 500,000 monthly active rows, 3,500 activation rows and 5,000 model runs
  • Transformations are metered separately, from $0.01 per model run above 5,000 down to $0.002 above 100,000
  • A schema change upstream that touches many rows raises the bill without any change on the customer's side

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

Fivetran

Free
  • FreeFree
    • Limited connectors
    • Basic support
  • Standard$300/month
    • 500+ connectors
    • Priority support
  • Enterprise$1000/month
    • Custom connectors
    • Dedicated support

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 Fivetran if

  • You need automated data pipeline.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want change data capture.

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.

Questions people ask

Is Fivetran or Hatchet better?
Neither clearly leads. Fivetran 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, Fivetran or Hatchet?
Fivetran starts at Free and Hatchet at Free.
Does Fivetran or Hatchet run on more platforms?
Fivetran runs on Web, Cloud. Hatchet runs on Linux, Docker, Kubernetes, Cloud.
Can I use Fivetran for free?
Both have a free tier, so you can try either at no cost before committing.
What is Fivetran best used for?
Fivetran is most often used for managed data pipelines from saas sources into a warehouse, keeping a warehouse in sync with production databases without writing connectors. Of those, managed data pipelines from saas sources into a warehouse and keeping a warehouse in sync with production databases without writing connectors are not what Hatchet is typically brought in for.
What can Fivetran do that Hatchet cannot?
Fivetran covers Automated data pipeline, Change Data Capture, Data transformation, Real-time sync. Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness.

Answered from the vendors’ own pages

Fivetran: What does Fivetran's free plan include?

The free plan includes 500,000 monthly active rows for connections, 3,500 monthly active rows for activations, and 5,000 monthly model runs for transformations.

Source
Hatchet: Is Hatchet open source?

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

Fivetran: What is the trial period for Fivetran?

Fivetran offers a 14-day risk-free trial for new accounts. Each new connection also includes 14 days of free use, with trial extensions available by contacting support.

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.

Fivetran: How much do I save by paying annually instead of monthly?

Annual contracts save up to 22.6% compared to monthly pricing, with tiered discounts starting at 5% and increasing based on annual list price.

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.

Fivetran: Can I cancel or modify my Fivetran subscription anytime?

Plans can be upgraded at any time. Connections can be added or removed at any time, and you can block tables or schemas to reduce usage. Downgrade or cancellation policies are not specified on the pricing page.

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.

Fivetran: What is the pricing for Fivetran transformations?

Transformations cost $0.01 per run for 5,001 to 30,000 monthly runs, with per-run costs declining as volume increases.

Source
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