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Business Intelligence · head to head

Fabi vs Lightdash

Fabi logo

Fabi

Business Intelligence

AI notebooks combining SQL, Python and no-code for small data teams

From
Free
Rated
-
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

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.; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: Fabi covers Smartbooks, Lightdash covers dbt Integration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Fabi and Lightdash actually diverge.

Attributes where Fabi and Lightdash differ
AttributeFabiLightdash
Pricing modelPer user per monthUnknown
PlatformsWebWeb, Cloud (managed), Self-hosted (on-premise)
FoundedUnknown2021

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Business Intelligence).

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 Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

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 Lightdash
  • An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Lightdash
  • Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Lightdash
  • Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot Lightdash

Lightdash

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

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud Managed$undefined/mo
    • Managed hosting
    • Premium features
    • AI agent capabilities

Which should you pick?

Choose Fabi if

  • You need smartbooks.
  • You want to start without paying.
  • You also want smart reports.

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Cloud (managed), Self-hosted (on-premise).
  • You also want metrics layer.

Questions people ask

Is Fabi or Lightdash better?
Neither clearly leads. Fabi starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fabi or Lightdash?
Fabi starts at Free and Lightdash at Free.
Does Fabi or Lightdash run on more platforms?
Fabi runs on Web. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
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 Lightdash is typically brought in for.
What can Fabi do that Lightdash cannot?
Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

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.

Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

Source
Fabi: Do viewers cost money?

Viewers are bundled by tier rather than charged individually; builders are the priced seat.

Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

Source
Fabi: Can I run arbitrary Python?

Yes, Smartbooks include Python cells alongside SQL and no-code steps.

Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

Source
Fabi: How many data connectors does the entry paid plan include?

One. Additional and premium connectors come with the Team tier.

Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

Source
Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

Source
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