Business Intelligence · head to head
Fabi vs Quadratic

Fabi
Business Intelligence
AI notebooks combining SQL, Python and no-code for small data teams
- From
- Free
- Rated
- -

Quadratic
Spreadsheets
Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Fabi fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.; Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- They diverge on capability: Fabi covers Smartbooks, Quadratic covers Multi-language cells.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Fabi and Quadratic actually diverge.
Identical on both: starting price (Free), pricing model (Per user per month), free tier (Yes), 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 Fabi
- Smartbooks
- Smart Reports
- AI analysis
- Scheduled runs
- Database connectors
- Viewer seats
Only in Quadratic
- Multi-language cells
- Infinite canvas
- Direct database connections
- AI agent in the sheet
- WebAssembly engine
- Python package support
What people use each for
The jobs each tool is most often brought in to do.
Fabi
- A single analyst at a startup fielding ad hoc questions faster than dashboards can be built for themnot Quadratic
- An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Quadratic
- Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Quadratic
- Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot Quadratic
Quadratic
- An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot Fabi
- Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Fabi
- Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Fabi
- Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot Fabi
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fabi
- Fabi is an early-stage company with a small team, so the durability risk is real and there is no obvious migration path for Smartbooks if it stops trading.
- There is no meaningful governance layer: no data catalogue, no certified metric definitions and limited lineage, so it does not scale to an organisation that needs a single agreed number.
- The free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work.
- Connector counts are limited by tier, so the Builder plan at 39 dollars connects to exactly one data source, which is rarely enough in practice.
- It overlaps heavily with what Snowflake, Databricks and Hex now ship natively, so a company already paying for one of those is buying a fourth notebook interface.
Quadratic
- AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
- Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
- The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
- There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.
Pricing, plan by plan
Fabi
Free- StarterFree
- One builder seat
- Ten dashboard viewers
- Five Smartbooks
- Builder$39/month
- Twenty-five Smart Report viewers
- Ten Smartbooks with workflows
- One data connector
- Team$199/month
- Four builder seats, extra seats at 39 USD
- Fifty viewers
- Premium connector
- Enterprise$undefined/year
- Unlimited builder seats
- Full connector access
- Custom security review
Quadratic
Free- PersonalFree
- Limited AI usage
- Limited files and connections
- Limited sharing
- Pro$18/month
- Billed annually
- 20 USD of AI credits per month
- Unlimited files
- Business$36/month
- Billed annually
- 40 USD of AI credits per month
- Advanced permissions
- Enterprise$undefined/year
- Quoted
- Self-hosting option
- Custom AI usage
Which should you pick?
Choose Fabi if
- You need smartbooks.
- You want to start without paying.
- You also want smart reports.
Choose Quadratic if
- You need multi-language cells.
- You want to start without paying.
- You work on Web, macOS, Windows, Linux.
- You also want infinite canvas.
Questions people ask
- Is Fabi or Quadratic better?
- Neither clearly leads. Fabi starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fabi or Quadratic?
- Fabi starts at Free and Quadratic at Free.
- Does Fabi or Quadratic run on more platforms?
- Fabi runs on Web. Quadratic runs on Web, macOS, Windows, Linux.
- Can I use Fabi for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Fabi best used for?
- Fabi is most often used for a single analyst at a startup fielding ad hoc questions faster than dashboards can be built for them, an operations team that needs python for a one-off analysis but has to hand the result to non-technical colleagues, replacing a set of scheduled jupyter notebooks that nobody outside the data team can read or rerun, exploratory work against a warehouse where building a semantic model first would cost more than the answer is worth. Of those, a single analyst at a startup fielding ad hoc questions faster than dashboards can be built for them and an operations team that needs python for a one-off analysis but has to hand the result to non-technical colleagues are not what Quadratic is typically brought in for.
- What can Fabi do that Quadratic cannot?
- Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.
Answered from the vendors’ own pages
Fabi: Is there a free plan?
Yes, a Starter tier with one builder, ten viewers, five Smartbooks and ten AI requests a day.
Quadratic: Do I need to know Python to use it?
No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.
Fabi: Do viewers cost money?
Viewers are bundled by tier rather than charged individually; builders are the priced seat.
Quadratic: What happens when the AI credits run out?
Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.
Fabi: Can I run arbitrary Python?
Yes, Smartbooks include Python cells alongside SQL and no-code steps.
Quadratic: Can it replace a BI tool?
Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.
Fabi: How many data connectors does the entry paid plan include?
One. Additional and premium connectors come with the Team tier.
Quadratic: Is my database query sent to the vendor?
Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.
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