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Business Intelligence · head to head

Celonis vs Firebolt

Celonis logo

Celonis

Business Intelligence

German process mining platform that analyzes, designs and operates AI-driven business processes

From
On request
Rated
-
Full reviewWebsite
Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Celonis no pricing is published anywhere on the site; the only path to a quote is a Contact Us sales form requiring company details, with no self-serve signup or published starting price; Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop

Where they differ

Only the attributes on which Celonis and Firebolt actually diverge.

Attributes where Celonis and Firebolt differ
AttributeCelonisFirebolt
Starting priceOn request$1.84/hour
Pricing modelquoteusage-based
PlatformsWebCloud (AWS, GCP, Azure preview), Docker, Kubernetes
CategoryBusiness IntelligenceDatabase & Data Management
FoundedUnknown2019

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 Celonis

Nothing recorded that Firebolt does not also cover.

Only in Firebolt

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

What people use each for

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

Celonis

No use cases recorded yet. See the Celonis review.

Firebolt

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

Where each one falls short

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

Celonis

  • No pricing is published anywhere on the site; the only path to a quote is a Contact Us sales form requiring company details, with no self-serve signup or published starting price
  • The vendor's own contact page directs prospects to wait for a Celonis representative to get in touch rather than offering instant access

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

Pricing, plan by plan

Celonis

On request

No published plan breakdown. See the Celonis review.

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Which should you pick?

Choose Celonis if

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

Celonis review

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

Questions people ask

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

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