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Database & Data Management · head to head

Firebolt vs Hive

Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
Hive logo

Hive

Project Management

Project management built for speed

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; Hive the free plan is capped at 200 MB of storage
  • They diverge on capability: Firebolt covers Sub-second Queries, Hive covers Tasks.

Where they differ

Only the attributes on which Firebolt and Hive actually diverge.

Attributes where Firebolt and Hive differ
AttributeFireboltHive
Starting price$1.84/hourOn request
Pricing modelusage-basedfreemium
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb, Ios, Android, Desktop
CategoryDatabase & Data ManagementProject Management
Founded20192015

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 Hive

  • Tasks
  • Gantt view
  • Kanban
  • Time tracking
  • Forms
  • Slack
  • Zoom
  • Google Drive

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

Hive

  • Project and task management with multiple project viewsnot Firebolt
  • Coordinating work, proofing and resourcing for teamsnot 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

Hive

  • The free plan is capped at 200 MB of storage
  • The Starter plan at $5 per user per month is limited to 10 projects
  • Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
  • Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
  • AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Hive

On request
  • FreeFree
    • Basic features
    • 10 users
  • Teams$12/month
    • Unlimited users
    • Time tracking
    • Automations

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 Hive if

  • You need tasks.
  • You work on Web, Ios, Android, Desktop.
  • You also want gantt view.
Hive review

Questions people ask

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