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Automation Integration · head to head

Hatchet vs Lytics

Hatchet logo

Hatchet

Automation Integration

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

From
Free
Rated
-
Full reviewWebsite
L

Lytics

Automation Integration

The customer data platform for personalization

From
$400/month
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.; Lytics billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist
  • They diverge on capability: Hatchet covers Postgres-backed queue, Lytics covers Data collection.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Hatchet and Lytics actually diverge.

Attributes where Hatchet and Lytics differ
AttributeHatchetLytics
Starting priceFree$400/month
Pricing modelPer month by task run countusage-based
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, CloudWeb
FoundedUnknown2013

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 Lytics

  • Data collection
  • Audience segmentation
  • Predictive analytics
  • Personalization
  • Real-time activation
  • Analytics
  • API access
  • 100+ integrations

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

Lytics

  • Building unified customer profiles from behavioural and marketing datanot Hatchet
  • Segmenting audiences and syncing them to marketing destinationsnot 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.

Lytics

  • Billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist
  • Most inbound events consume a full credit each, and Cloud Connect sync events consume half a credit per updated row
  • The free Developer tier is capped at 2M monthly credits and 10 domains
  • The Growth plan is $500 a month for 5M credits, with additional credits at $500 per 10M
  • Enterprise begins above 10M credits and is quoted rather than published

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

Lytics

$400/month
  • Professional$400/month
    • Core CDP features
  • Advanced$1200/month
    • Advanced personalization
    • Priority support
  • Enterprise$3000/month
    • Custom solutions
    • Dedicated support

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 Lytics if

  • You need data collection.
  • You also want audience segmentation.
Lytics review

Questions people ask

Is Hatchet or Lytics better?
Neither clearly leads. Hatchet starts at Free and Lytics at $400/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hatchet or Lytics?
Hatchet has a free tier; the other does not. Paid plans start at Free for Hatchet and $400/month for Lytics.
Does Hatchet or Lytics run on more platforms?
Hatchet runs on Linux, Docker, Kubernetes, Cloud. Lytics runs on Web.
Can I use Hatchet for free?
Yes. Hatchet has a free tier, so you can try it without paying. Lytics starts at $400/month.
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 Lytics is typically brought in for.
What can Hatchet do that Lytics cannot?
Hatchet covers Postgres-backed queue, Durable execution, DAG workflows, Concurrency and fairness. Lytics covers Data collection, Audience segmentation, Predictive analytics, Personalization.

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.

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.

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.

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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