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Database & Data Management · head to head

Cloudinary vs Firebolt

C

Cloudinary

Database & Data Management

Image and video API for developers

From
Free
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

  • Only Cloudinary has a free tier, so it costs nothing to try first.
  • Each has a real cost: Cloudinary paid plans jump from a free tier straight to $224 per month, with usage priced on transformations, storage, and bandwidth credits that consume quickly at scale; 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 Cloudinary and Firebolt actually diverge.

Attributes where Cloudinary and Firebolt differ
AttributeCloudinaryFirebolt
Starting priceFree$1.84/hour
Pricing modelfreemiumusage-based
Free tierYesNo
PlatformsWebCloud (AWS, GCP, Azure preview), Docker, Kubernetes
FoundedUnknown2019

Identical on both: user rating (Not yet rated), category (Database & Data Management).

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 Cloudinary

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.

Cloudinary

No use cases recorded yet. See the Cloudinary review.

Firebolt

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

Where each one falls short

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

Cloudinary

  • Paid plans jump from a free tier straight to $224 per month, with usage priced on transformations, storage, and bandwidth credits that consume quickly at scale

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

Cloudinary

Free

No published plan breakdown. See the Cloudinary review.

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Which should you pick?

Choose Cloudinary if

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