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Database & Data Management · head to head

Firebolt vs Pipefy

Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
Pipefy logo

Pipefy

Project Management

Workflow and process management, simplified

From
On request
Rated
-
Full reviewWebsite

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; Pipefy free Starter tier caps at 5 processes even with up to 10 users

Where they differ

Only the attributes on which Firebolt and Pipefy actually diverge.

Attributes where Firebolt and Pipefy differ
AttributeFireboltPipefy
Starting price$1.84/hourOn request
Pricing modelusage-basedquote
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb
CategoryDatabase & Data ManagementProject Management
Founded2019Unknown

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

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 Pipefy

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

Pipefy

No use cases recorded yet. See the Pipefy 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

Pipefy

  • Free Starter tier caps at 5 processes even with up to 10 users
  • Business and Enterprise tiers publish no per-user price on the pricing page; both require contacting sales for a custom quote
  • Cancellations do not receive refunds even though the plan can be changed or stopped at any time

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Pipefy

On request

No published plan breakdown. See the Pipefy 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 Pipefy if

Nothing in the data separates Pipefy from Firebolt on the points above - pick on price and on how each one feels to use.

Pipefy review

Questions people ask

Is Firebolt or Pipefy better?
Neither clearly leads. Firebolt starts at $1.84/hour and Pipefy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Pipefy?
Firebolt starts at $1.84/hour and Pipefy at On request.
Does Firebolt or Pipefy run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Pipefy runs on Web.
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 Pipefy is typically brought in for.
What can Firebolt do that Pipefy cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute.
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