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Software · head to head

Firebolt vs Subframe

Firebolt logo

Firebolt

Software

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
S

Subframe

Software

The AI-native design tool built for code

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Subframe has a free tier, so it costs nothing to try first.
  • 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; Subframe the free plan is capped at 1 project, 10 pages, and 2 prototypes with limited AI usage and only 24 hour version history, versus unlimited AI on the $29 per editor per month Pro plan, as of August 2026.

Where they differ

Only the attributes on which Firebolt and Subframe actually diverge.

Attributes where Firebolt and Subframe differ
AttributeFireboltSubframe
Starting price$1.84/hourFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb
Founded2019Unknown

Identical on both: 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 Subframe

Nothing recorded that Firebolt does not also cover.

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 Subframe
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Subframe
  • Applications needing vector search on analytical data for similarity queriesnot Subframe

Subframe

No use cases recorded yet. See the Subframe review.

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

Subframe

  • The free plan is capped at 1 project, 10 pages, and 2 prototypes with limited AI usage and only 24 hour version history, versus unlimited AI on the $29 per editor per month Pro plan, as of August 2026.

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Subframe

Free

No published plan breakdown. See the Subframe review.

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.
Firebolt review

Choose Subframe if

  • You want to start without paying.
Subframe review

Questions people ask

Is Firebolt or Subframe better?
Neither clearly leads. Firebolt starts at $1.84/hour and Subframe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Subframe?
Subframe has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for Subframe.
Does Firebolt or Subframe run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Subframe runs on Web.
Can I use Subframe for free?
Yes. Subframe has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
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 Subframe is typically brought in for.
What can Firebolt do that Subframe cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute.
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