Software · head to head
Firebolt vs Heroku

Firebolt
Software
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- 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.
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/hourNo 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.
Related pages
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