Business Intelligence · head to head
Fabi vs Redash

Fabi
Business Intelligence
AI notebooks combining SQL, Python and no-code for small data teams
- 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.; Redash pricing model not disclosed on dedicated pricing page
- They diverge on capability: Fabi covers Smartbooks, Redash covers SQL Query Editor.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Fabi and Redash actually diverge.
Identical on both: starting price (Free), 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 Redash
- SQL Query Editor
- Multiple Data Sources
- Visualizations
- Dashboards
- Alerts
- PostgreSQL
- MySQL
- BigQuery
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 Redash
- An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Redash
- Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Redash
- Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot Redash
Redash
- Data visualization and business intelligence for analyticsnot Fabi
- Query result sharing and collaborative dashboard creationnot 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.
Redash
- Pricing model not disclosed on dedicated pricing page
- Open-source offering may require self-hosting technical expertise
- Managed hosting or commercial support pricing not published
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
Redash
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
- Cloud$49/month
- Managed Hosting
- Automatic Updates
- Support
Which should you pick?
Choose Fabi if
- You need smartbooks.
- You want to start without paying.
- You also want smart reports.
Choose Redash if
- You need sql query editor.
- You want to start without paying.
- You work on Web, Self-hosted, Cloud.
- You also want multiple data sources.
Questions people ask
- Is Fabi or Redash better?
- Neither clearly leads. Fabi starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fabi or Redash?
- Fabi starts at Free and Redash at Free.
- Does Fabi or Redash run on more platforms?
- Fabi runs on Web. Redash runs on Web, Self-hosted, Cloud.
- 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 Redash is typically brought in for.
- What can Fabi do that Redash cannot?
- Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards.
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.
Redash: What is Redash's pricing?
Redash is a popular open-source project with no pricing tiers listed on the pricing page. The project emphasizes no vendor lock-in and community contribution. Paid managed hosting or commercial support options may be available but are not published on this page.
SourceFabi: Do viewers cost money?
Viewers are bundled by tier rather than charged individually; builders are the priced seat.
Fabi: Can I run arbitrary Python?
Yes, Smartbooks include Python cells alongside SQL and no-code steps.
Fabi: How many data connectors does the entry paid plan include?
One. Additional and premium connectors come with the Team tier.
Related pages
Other head to heads
- Fabi vs Hex
- Fabi vs Deepnote
- Fabi vs Mode
- Fabi vs Periscope Data
- Fabi vs Zenlytic
- Fabi vs Evidence
- Fabi vs Cube
- Fabi vs Reportz
- Fabi vs Anaplan
- Fabi vs Grow
- Fabi vs Luzmo
- Fabi vs Phocas
- Fabi vs DashThis
- Fabi vs Dundas BI
- Fabi vs Exa
- Fabi vs Geckoboard
- Fabi vs Glassbox
- Fabi vs Glean
- Fabi vs Tableau
- Fabi vs Metabase
- Fabi vs Looker
- Fabi vs Apache Superset
- Fabi vs Fibery
- Fabi vs Baserow
- Fabi vs NocoDB
- Fabi vs Budibase
- Fabi vs Equals
- Fabi vs Quadratic
- Fabi vs Sigma Computing
- Fabi vs Cube Software
- Fabi vs APITable
- Fabi vs Coefficient
- Fabi vs Mathesar
- Fabi vs Rowy
- Redash vs Hex
- Redash vs Deepnote
- Redash vs Mode
- Redash vs Periscope Data
- Redash vs Zenlytic
- Redash vs Evidence
- Redash vs Cube
- Redash vs Reportz
- Redash vs Anaplan
- Redash vs Grow
- Redash vs Luzmo
- Redash vs Phocas
- Redash vs DashThis
- Redash vs Dundas BI
- Redash vs Exa
- Redash vs Geckoboard
- Redash vs Glassbox
- Redash vs Glean
- Redash vs Tableau
- Redash vs Metabase
- Redash vs Looker
- Redash vs Apache Superset
- Redash vs Fibery
- Redash vs Baserow
- Redash vs NocoDB
- Redash vs Budibase
- Redash vs Equals
- Redash vs Quadratic
- Redash vs Sigma Computing
- Redash vs Cube Software
- Redash vs APITable
- Redash vs Coefficient
- Redash vs Mathesar
- Redash vs Rowy

