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Software · head to head

Firebolt vs Paragon

Firebolt logo

Firebolt

Software

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Paragon logo

Paragon

Software

Embedded integration platform for SaaS

From
$299/month
Rated
-

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; Paragon no price is published for either plan, and both require a quote
  • They diverge on capability: Firebolt covers Sub-second Queries, Paragon covers Embedded workflows.

Where they differ

Only the attributes on which Firebolt and Paragon actually diverge.

Attributes where Firebolt and Paragon differ
AttributeFireboltParagon
Starting price$1.84/hour$299/month
Pricing modelusage-basedsubscription
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb, Embedded
Founded20192021

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 Paragon

  • Embedded workflows
  • Native integrations
  • Workflow builder
  • Error handling
  • Monitoring
  • Analytics
  • Webhooks
  • 500+ apps

Both cover

  • Web support

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

Paragon

  • Embedding third party integrations into a SaaS productnot Firebolt
  • Managing customer facing connectors without building each onenot Firebolt

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

Paragon

  • No price is published for either plan, and both require a quote
  • Cost scales with the number of customer tenants using the integrations, so the bill follows an end customer count rather than the vendor's own usage
  • SAML SSO, self hosting, dynamic field mapping and SLAs are all Enterprise only

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Paragon

$299/month
  • Starter$299/month
    • 50 integrations
    • Basic support
  • Growth$999/month
    • 200 integrations
    • Priority support
  • Enterprise$5000/month
    • Unlimited integrations
    • Dedicated support

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.

Choose Paragon if

  • You need embedded workflows.
  • You work on Web, Embedded.
  • You also want native integrations.

Questions people ask

Is Firebolt or Paragon better?
Neither clearly leads. Firebolt starts at $1.84/hour and Paragon at $299/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Paragon?
Firebolt starts at $1.84/hour and Paragon at $299/month.
Does Firebolt or Paragon run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Paragon runs on Web, Embedded.
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 Paragon is typically brought in for.
What can Firebolt do that Paragon cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Paragon covers Embedded workflows, Native integrations, Workflow builder, Error handling. Both handle Web support.
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