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Software · head to head

Firebolt vs Heroku

Firebolt logo

Firebolt

Software

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Heroku logo

Heroku

Software

Cloud Application Platform

From
$7/month
Rated
-

The short version

  • Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; Heroku there is no free dyno tier; the cheapest Eco dyno is $5 per month
  • They diverge on capability: Firebolt covers Sub-second Queries, Heroku covers Git-based deployment.

Where they differ

Only the attributes on which Firebolt and Heroku actually diverge.

Attributes where Firebolt and Heroku differ
AttributeFireboltHeroku
Starting price$1.84/hour$7/month
Pricing modelusage-basedsubscription
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb, Api, Workers
Founded20192007

Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).

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 Firebolt

  • Sub-second Queries
  • Sparse Indexes
  • Data Pruning
  • Decoupled Storage/Compute
  • SQL Support
  • Semi-structured Data
  • Workload Isolation
  • Airflow

Only in Heroku

  • Git-based deployment
  • Buildpacks
  • Dynos (containers)
  • Add-ons marketplace
  • Postgres database
  • Environment variables
  • Logging
  • API

Both cover

  • Web support

What people use each for

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

Firebolt

  • Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Heroku
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Heroku
  • Applications needing vector search on analytical data for similarity queriesnot Heroku

Heroku

  • Deploying and scaling web applications with git push and no server administrationnot Firebolt
  • Running managed Postgres, Redis and Kafka as attached data servicesnot Firebolt
  • Isolated production environments in a Private Space for regulated workloadsnot Firebolt

Where each one falls short

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

Firebolt

  • Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
  • Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
  • Azure deployment currently in Preview status; production recommendations unclear
  • Vector indexes limited to float arrays; other data types require alternative indexing strategies
  • Free tier credits ($200) limited; no perpetual free tier for production use

Heroku

  • There is no free dyno tier; the cheapest Eco dyno is $5 per month
  • Eco dynos sleep after 30 minutes of inactivity, are restricted to personal accounts and allow only 2 process types
  • Free SSL and 10 process types start at the Basic dyno at $7 per month
  • Private and Shield dyno types require a Private Space, which is billed on top of the dynos
  • Private Space dynos start at $250 per month for Private-M and $500 per month for Private-L
  • Dyno prices are per dyno per month, so an app with several process types multiplies the bill

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Heroku

$7/month
  • Hobby$7/month
    • 512MB RAM
    • Shared CPU
    • 1 web dyno
  • Standard$50/month
    • 512MB RAM
    • Dedicated CPU
    • Automatic scaling

Which should you pick?

Choose Firebolt if

  • You need sub-second queries.
  • You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
  • You also want sparse indexes.

Choose Heroku if

  • You need git-based deployment.
  • You work on Web, Api, Workers.
  • You also want buildpacks.

Questions people ask

Is Firebolt or Heroku better?
Neither clearly leads. Firebolt starts at $1.84/hour and Heroku at $7/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Heroku?
Firebolt starts at $1.84/hour and Heroku at $7/month.
Does Firebolt or Heroku run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Heroku runs on Web, Api, Workers.
What is Firebolt best used for?
Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what Heroku is typically brought in for.
What can Firebolt do that Heroku cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Heroku covers Git-based deployment, Buildpacks, Dynos (containers), Add-ons marketplace. Both handle Web support.

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