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Business Intelligence · head to head

Lightdash vs Steampipe

Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Free plan
Yes
Visit LightdashFull review
Steampipe logo

Steampipe

Developer Tools

Query cloud APIs, SaaS tools and code with SQL, with no extract or load step

From
Free
Free plan
Yes
Visit SteampipeFull review

The short version

  • Lightdash is an open-source business intelligence tool.
  • Lightdash is free; Steampipe starts at $49/mo.
  • Only Lightdash lists dbt Integration; only Steampipe lists SQL over live APIs.
  • Where Lightdash falls short: requires existing dbt infrastructure, not suitable for teams without data models.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Lightdash and Steampipe actually diverge.

Attributes where Lightdash and Steampipe differ
AttributeLightdashSteampipe
PlatformsWeb, Self-hostedmacOS, Linux, Windows, Self-hosted, Web
CategoryBusiness IntelligenceDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Lightdash, founded for Steampipe.

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 Lightdash

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

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.

Lightdash

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

Steampipe

  • Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Lightdash
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Lightdash
  • Inventory and drift questions spanning several cloud providers in one querynot Lightdash
  • Engineers who would rather write SQL than learn each provider command line toolnot Lightdash

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Lightdash

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

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud ManagedOn request
    • Managed hosting
    • Premium features
    • AI agent capabilities

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 Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want metrics layer.
Lightdash review

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.
Steampipe review

Questions people ask

Is Lightdash or Steampipe better?
Neither clearly leads. Lightdash 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, Lightdash or Steampipe?
Lightdash starts at Free and Steampipe at Free.
Does Lightdash or Steampipe run on more platforms?
Lightdash runs on Web, Self-hosted. Steampipe runs on macOS, Linux, Windows, Self-hosted, Web.
Can I use Lightdash for free?
Both have a free tier, so you can try either at no cost before committing.
What is Lightdash best used for?
Lightdash is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Steampipe is typically brought in for.
What can Lightdash do that Steampipe cannot?
Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

Answered from the vendors’ own pages

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
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.

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
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.

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
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.

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
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.

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
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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