Business Intelligence · head to head
Fabi vs Steampipe

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

Steampipe
Developer Tools
Query cloud APIs, SaaS tools and code with SQL, with no extract or load step
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $39/mo and $49/mo.
- Only Fabi lists smart Reports; only Steampipe lists SQL over live APIs.
- Where Fabi falls short: the free and Builder tiers cap AI requests, and the daily cap on Starter is reached quickly during genuine exploratory work.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Fabi and Steampipe actually diverge.
Identical on both: starting price (Free), free tier (Yes).
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 Steampipe
- SQL over live APIs
- Wide plugin set
- Embedded Postgres
- Compliance benchmarks
- Joins across providers
- Hosted option
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 Steampipe
- An operations team that needs Python for a one-off analysis but has to hand the result to non-technical colleaguesnot Steampipe
- Replacing a set of scheduled Jupyter notebooks that nobody outside the data team can read or rerunnot Steampipe
- Exploratory work against a warehouse where building a semantic model first would cost more than the answer is worthnot Steampipe
Steampipe
- Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Fabi
- Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Fabi
- Inventory and drift questions spanning several cloud providers in one querynot Fabi
- Engineers who would rather write SQL than learn each provider command line toolnot 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
Steampipe
- AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it
- Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist
- Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly
- The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area
- Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted
Pricing, plan by plan
Fabi
Free- StarterFree
- One builder seat
- Ten dashboard viewers
- Five Smartbooks
- Builder$39/mo
- Twenty-five Smart Report viewers
- Ten Smartbooks with workflows
- One data connector
- Team$199/mo
- Four builder seats, extra seats at 39 USD
- Fifty viewers
- Premium connector
- EnterpriseOn request
- Unlimited builder seats
- Full connector access
- Custom security review
Steampipe
Free- Steampipe CLIFree
- AGPL-3.0
- All plugins
- No user or query limits
- Pipes DeveloperFree
- One user
- 400 compute minutes
- 3GB storage
- Pipes Team$49/mo
- Three users
- 2,000 compute minutes
- 20GB storage
- Pipes Enterprise$249/mo
- Three users
- 10,000 compute minutes
- 100GB storage
Which should you pick?
Choose Fabi if
- You need smartbooks.
- You want to start without paying.
- You also want smart reports.
Choose Steampipe if
- You need sql over live apis.
- You want to start without paying.
- You work on macOS, Linux, Windows, Self-hosted, Web.
- You also want wide plugin set.
Questions people ask
- Is Fabi or Steampipe better?
- Neither clearly leads. Fabi starts at Free and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fabi or Steampipe?
- Fabi starts at Free and Steampipe at Free.
- Does Fabi or Steampipe run on more platforms?
- Fabi runs on Web. Steampipe runs on macOS, Linux, Windows, Self-hosted, Web.
- 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 Steampipe is typically brought in for.
- What can Fabi do that Steampipe cannot?
- Fabi covers Smartbooks, Smart Reports, AI analysis, Scheduled runs. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.
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.
Steampipe: When did Steampipe become AGPL?
May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.
Fabi: Do viewers cost money?
Viewers are bundled by tier rather than charged individually; builders are the priced seat.
Steampipe: Where did the dashboards and benchmarks go?
Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.
Fabi: Can I run arbitrary Python?
Yes, Smartbooks include Python cells alongside SQL and no-code steps.
Steampipe: Is it fast on a large cloud estate?
Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.
Fabi: How many data connectors does the entry paid plan include?
One. Additional and premium connectors come with the Team tier.
Steampipe: Does the AGPL affect internal use?
Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.
Steampipe: Is a bootstrapped vendor a risk?
It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.
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- Steampipe vs Hex
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- Steampipe vs Mode
- Steampipe vs Periscope Data
- Steampipe vs Evidence
- Steampipe vs Zenlytic
- Steampipe vs Cube
- Steampipe vs Anaplan
- Steampipe vs Databox
- Steampipe vs Heap
- Steampipe vs Grow
- Steampipe vs Reportz
- Steampipe vs Quid
- Steampipe vs Rill Data
- Steampipe vs SAP BusinessObjects
- Steampipe vs Snowplow
- Steampipe vs Stripe Dashboard
- Steampipe vs TIBCO Spotfire
- Steampipe vs Atlantis
- Steampipe vs Jitsu
- Steampipe vs Frappe
- Steampipe vs Kubernetes
- Steampipe vs Visual Studio Code
- Steampipe vs GNU Emacs
- Steampipe vs Penpot
- Steampipe vs Bazel
- Steampipe vs Eclipse IDE
- Steampipe vs GitHub
- Steampipe vs Pants Build
- Steampipe vs Swagger UI
- Steampipe vs GoLand
- Steampipe vs Hookdeck
- Steampipe vs Istio
- Steampipe vs JFrog Artifactory
- Steampipe vs Namespace
- Steampipe vs Nix
