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Firebolt vs Productive

Firebolt logo

Firebolt

Software

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
Productive logo

Productive

Software

Run projects, budgets and resources in one place

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; Productive essential plan is capped at 5 account-level custom fields and 1 CRM pipeline versus 15 fields and 3 pipelines on Professional

Where they differ

Only the attributes on which Firebolt and Productive actually diverge.

Attributes where Firebolt and Productive differ
AttributeFireboltProductive
Starting price$1.84/hourOn request
Pricing modelusage-basedquote
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb
Founded2019Unknown

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 Productive

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

Productive

No use cases recorded yet. See the Productive 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

Productive

  • Essential plan is capped at 5 account-level custom fields and 1 CRM pipeline versus 15 fields and 3 pipelines on Professional
  • Ultimate tier for complex organizations is quote-only, listed as Let's talk with no published price

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Productive

On request

No published plan breakdown. See the Productive 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 Productive if

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

Productive review

Questions people ask

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