Databases · head to head
Firebolt vs Sigma Computing

Firebolt
Databases
Sub-second analytics at cloud data warehouse scale
- From
- $1.84/hour
- Rated
- -

Sigma Computing
Spreadsheets
Spreadsheet-style analytics that queries a cloud data warehouse directly with no extract layer
- From
- On request
- 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; Sigma Computing every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
- They diverge on capability: Firebolt covers Sub-second Queries, Sigma Computing covers Spreadsheet interface over SQL.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Firebolt and Sigma Computing actually diverge.
| Attribute | Firebolt | Sigma Computing |
|---|---|---|
| Starting price | $1.84/hour | On request |
| Pricing model | usage-based | quote |
| Platforms | Cloud (AWS, GCP, Azure preview), Docker, Kubernetes | Web |
| Category | Databases | Spreadsheets |
| Founded | 2019 | Unknown |
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 Sigma Computing
- Spreadsheet interface over SQL
- No extract layer
- Input tables and write-back
- Workbooks
- Embedded analytics
- Version control and dbt awareness
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 Sigma Computing
- Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Sigma Computing
- Applications needing vector search on analytical data for similarity queriesnot Sigma Computing
Sigma Computing
- A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot Firebolt
- An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Firebolt
- Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Firebolt
- Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot 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
Sigma Computing
- Every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
- It cannot work without a supported cloud data warehouse, so an organisation running analytics on an on-premises database or a plain application database has nothing to connect to.
- Pricing is not published and seats are differentiated by capability, so budgeting requires a sales cycle and a headcount forecast before you can compare it with a tool you could simply buy.
- Performance is only as good as the warehouse behind it, which means slow or badly modelled tables surface as a slow interface and the fix is a data engineering project, not a Sigma setting.
- Statistical and scientific visualisation is limited compared with dedicated tools, so anything beyond standard business charting has to be done elsewhere and brought back in.
Pricing, plan by plan
Firebolt
$1.84/hourNo published plan breakdown. See the Firebolt review.
Sigma Computing
On request- Sigma Computing$undefined/year
- Quoted per organisation
- Seat types are differentiated by whether a user views, explores or authors
- Warehouse compute is billed separately by your cloud data warehouse vendor
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 Sigma Computing if
- You need spreadsheet interface over sql.
- You also want no extract layer.
Questions people ask
- Is Firebolt or Sigma Computing better?
- Neither clearly leads. Firebolt starts at $1.84/hour and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Firebolt or Sigma Computing?
- Firebolt starts at $1.84/hour and Sigma Computing at On request.
- Does Firebolt or Sigma Computing run on more platforms?
- Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Sigma Computing runs on Web.
- 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 Sigma Computing is typically brought in for.
- What can Firebolt do that Sigma Computing cannot?
- Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.
Answered from the vendors’ own pages
Firebolt: How does Firebolt's compute billing model work?
Firebolt uses per-second billing with scale-to-zero capability. The smallest S tier costs $1.84 per hour with 8 vCPU and 64GB memory, while the largest 4XL tier costs $58.88 per hour with 256 vCPU. Users only pay when compute is running.
SourceSigma Computing: Does Sigma store a copy of my data?
No. Queries are executed on your warehouse and results are returned for display, which is why there is no extract refresh to manage.
Firebolt: What is the cost for data storage on Firebolt?
Storage costs $0.0264 per GB per month on object storage, billed as pass-through cost at cloud provider rates.
SourceSigma Computing: What does it actually cost?
The vendor does not publish prices. Expect an annual contract priced by seat type, plus a warehouse compute increase you should model separately.
Firebolt: What free credits or trial does Firebolt offer new users?
New users receive $200 free credits to get started with the platform.
SourceSigma Computing: Can business users break the warehouse?
They can run expensive queries. Warehouse sizing, query limits and materialised tables are the controls, and they need configuring before a wide rollout.
Firebolt: Does Firebolt publish pricing for commitment-based discounts?
The pricing FAQ lists a question about commitment-based discounts but does not provide published answers on the pricing page. This requires direct inquiry with sales.
SourceSigma Computing: Is it a replacement for a modelling layer like dbt?
No. Sigma works best on top of modelled tables and is usually deployed alongside dbt rather than instead of it.
Firebolt: What deployment options does Firebolt offer besides managed service?
Firebolt offers self-hosted open source deployment (unlimited) and Bring Your Own Cloud (BYOC) options in addition to managed service.
SourceRelated pages
More on Sigma Computing
Other head to heads
- Firebolt vs BigQuery
- Firebolt vs Amazon Redshift
- Firebolt vs Airtable
- Firebolt vs Cockroach Labs
- Firebolt vs PostgreSQL
- Firebolt vs Apache Druid
- Firebolt vs DuckDB
- Firebolt vs QuestDB
- Firebolt vs MotherDuck
- Firebolt vs ClickHouse
- Firebolt vs dbt
- Firebolt vs EMQX
- Firebolt vs FaunaDB
- Firebolt vs Firebase Realtime Database
- Firebolt vs Memcached
- Firebolt vs Amazon Aurora
- Firebolt vs Apache Pinot
- Firebolt vs Firestore
- Firebolt vs Tableau
- Firebolt vs Metabase
- Firebolt vs Looker
- Firebolt vs Equals
- Firebolt vs Redash
- Firebolt vs Apache Superset
- Firebolt vs APITable
- Firebolt vs Coefficient
- Firebolt vs Mathesar
- Firebolt vs SeaTable
- Firebolt vs Numbers
- Firebolt vs Zoho Sheet
- Firebolt vs Cube Software
- Firebolt vs Quadratic
- Firebolt vs Rowy
- Firebolt vs Teable
- Sigma Computing vs BigQuery
- Sigma Computing vs Amazon Redshift
- Sigma Computing vs Airtable
- Sigma Computing vs Cockroach Labs
- Sigma Computing vs PostgreSQL
- Sigma Computing vs Apache Druid
- Sigma Computing vs DuckDB
- Sigma Computing vs QuestDB
- Sigma Computing vs MotherDuck
- Sigma Computing vs ClickHouse
- Sigma Computing vs dbt
- Sigma Computing vs EMQX
- Sigma Computing vs FaunaDB
- Sigma Computing vs Firebase Realtime Database
- Sigma Computing vs Memcached
- Sigma Computing vs Amazon Aurora
- Sigma Computing vs Apache Pinot
- Sigma Computing vs Firestore
- Sigma Computing vs Tableau
- Sigma Computing vs Metabase
- Sigma Computing vs Looker
- Sigma Computing vs Equals
- Sigma Computing vs Redash
- Sigma Computing vs Apache Superset
- Sigma Computing vs APITable
- Sigma Computing vs Coefficient
- Sigma Computing vs Mathesar
- Sigma Computing vs SeaTable
- Sigma Computing vs Numbers
- Sigma Computing vs Zoho Sheet
- Sigma Computing vs Cube Software
- Sigma Computing vs Quadratic
- Sigma Computing vs Rowy
- Sigma Computing vs Teable
