Softwr

Automation Integration · head to head

Hatchet vs Talend

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
Talend logo

Talend

Automation Integration

Cloud data integration platform

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Hatchet has a free tier, so it costs nothing to try first.
  • 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.; Talend no published pricing; all customers receive customized quotes based on usage
  • They diverge on capability: Hatchet covers Postgres-backed queue, Talend covers ETL pipelines.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Talend actually diverge.

Attributes where Hatchet and Talend differ
AttributeHatchetTalend
Starting priceFreeOn request
Pricing modelPer month by task run countusage-based
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, CloudWeb, On-premise
FoundedUnknown2006

Identical on both: 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 Talend

  • ETL pipelines
  • Data quality
  • Master data management
  • Real-time streaming
  • Cloud synchronization
  • Monitoring
  • Scheduling
  • 1000+ connectors

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

Talend

  • Enterprises consolidating data integration and pipeline orchestration now under the Qlik Talend Cloud brandnot 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.

Talend

  • No published pricing; all customers receive customized quotes based on usage
  • Billing measured by combination of data volume moved, job executions, and execution duration
  • Pricing details available only through sales contact; no self-serve pricing model

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

Talend

On request
  • Starter$null/usage
    • Basic SaaS connectivity
  • Standard$null/usage
    • Real-time data movement
    • Change Data Capture (CDC)
  • Premium$null/usage
    • Transformation capabilities
    • Automation features
  • Enterprise$null/usage
    • Comprehensive quality features
    • Governance capabilities

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 Talend if

  • You need etl pipelines.
  • You work on Web, On-premise.
  • You also want data quality.
Talend review

Questions people ask

Is Hatchet or Talend better?
Neither clearly leads. Hatchet starts at Free and Talend at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Talend?
Hatchet has a free tier; the other does not. Paid plans start at Free for Hatchet and On request for Talend.
Does Hatchet or Talend run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Talend runs on Web, On-premise.
Can I use Hatchet for free?
Yes. Hatchet has a free tier, so you can try it without paying. Talend starts at On request.
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 Talend is typically brought in for.
What can Hatchet do that Talend cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Talend covers ETL pipelines, Data quality, Master data management, Real-time streaming.

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.

Talend: How is Talend Cloud priced?

Talend Cloud uses a usage-based pricing model where customers subscribe to a chosen edition (Starter, Standard, Premium, or Enterprise) and pay based on capacity used. Billing is calculated as a combination of data volume moved, number of job executions, and execution duration, with no published rates.

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.

Talend: What are Talend Cloud editions?

Talend Cloud offers four editions: Starter (basic SaaS connectivity), Standard (real-time data movement and CDC), Premium (transformation and automation), and Enterprise (comprehensive quality and governance). All pricing is custom based on usage.

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.

Talend: Does Talend Cloud provide usage monitoring?

Yes. Talend provides a self-serve telemetry dashboard where customers can monitor usage trends and receive alerts as utilization approaches capacity limits, allowing tracking of data volume, job executions, and execution duration.

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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