Softwr

Database & Data Management · head to head

Firebolt vs Sisense

Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
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; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Firebolt covers Sub-second Queries, Sisense covers Embedded Analytics.

Where they differ

Only the attributes on which Firebolt and Sisense actually diverge.

Attributes where Firebolt and Sisense differ
AttributeFireboltSisense
Starting price$1.84/hour$10000/year
Pricing modelusage-basedUnknown
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb, Cloud, On-premises
CategoryDatabase & Data ManagementBusiness Intelligence
Founded20192004

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 Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

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

Sisense

  • Self-service analyticsnot Firebolt
  • Data explorationnot Firebolt
  • Ad-hoc reportingnot Firebolt
  • Collaborative analysisnot Firebolt
  • Embedded analyticsnot 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

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Sisense

$10000/year
  • Small Team$10000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-Market$null/custom
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

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 Sisense if

  • You need embedded analytics.
  • You work on Web, Cloud, On-premises.
  • You also want ai/ml integration.
Sisense review

Questions people ask

Is Firebolt or Sisense better?
Neither clearly leads. Firebolt starts at $1.84/hour and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Sisense?
Firebolt starts at $1.84/hour and Sisense at $10000/year.
Does Firebolt or Sisense run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Sisense runs on Web, Cloud, On-premises.
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 Sisense is typically brought in for.
What can Firebolt do that Sisense cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Web support.

Answered from the vendors’ own pages

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source
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