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Business Intelligence · head to head

Cube vs Steampipe

Cube logo

Cube

Business Intelligence

AI-native analytics platform with semantic layer and governed access

From
Free
Free plan
Yes
Visit CubeFull 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

  • Free plans on both; paid from $40/mo and $49/mo.
  • Only Cube lists analytics Chat; only Steampipe lists wide plugin set.
  • Where Cube falls short: per-developer licensing can be expensive for large analytics teams.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cube and Steampipe actually diverge.

Attributes where Cube and Steampipe differ
AttributeCubeSteampipe
Pricing modelPer-developer seats with volume pricingOpen source, with paid hosting through Turbot Pipes
PlatformsWeb, Self-hostedmacOS, Linux, Windows, Self-hosted, Web
CategoryBusiness IntelligenceDeveloper Tools

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 Cube

  • Analytics Chat
  • Workbooks
  • Dashboards
  • Embedded Analytics
  • AI Integrations
  • Core Data APIs
  • Caching and pre-aggregations

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.

Cube

  • Building governed semantic data models for analyticsnot Steampipe
  • Embedding analytics into customer-facing productsnot Steampipe
  • Enabling natural language data queries for teamsnot Steampipe
  • Creating conversational dashboards with AI assistancenot Steampipe

Steampipe

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

Where each one falls short

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

Cube

  • Per-developer licensing can be expensive for large analytics teams
  • Additional cost for Explorer and Viewer roles beyond developers
  • Semantic layer approach requires upfront modeling investment
  • Smaller connector ecosystem than dedicated BI platforms
  • May be overengineered for simple reporting needs

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

Cube

Free
  • FreeFree
    • For hobbyists and personal projects
    • Basic data source connection
    • Semantic modeling
  • Starter$40
    • Extended agent limits
    • Premium LLMs
    • Unlimited workbooks
  • Premium$80
    • All Starter features
    • Embedded dashboards
    • Embedded analytics chat
  • EnterpriseOn request
    • 99.990% uptime SLA
    • Dedicated single-tenant installation
    • Bring Your Own Cloud

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 Cube if

  • You need analytics chat.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want workbooks.
Cube 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 Cube or Steampipe better?
Neither clearly leads. Cube 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, Cube or Steampipe?
Cube starts at Free and Steampipe at Free.
Does Cube or Steampipe run on more platforms?
Cube runs on Web, Self-hosted. Steampipe runs on macOS, Linux, Windows, Self-hosted, Web.
Can I use Cube for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cube best used for?
Cube is most often used for building governed semantic data models for analytics, embedding analytics into customer-facing products, enabling natural language data queries for teams, creating conversational dashboards with ai assistance. Of those, building governed semantic data models for analytics and embedding analytics into customer-facing products are not what Steampipe is typically brought in for.
What can Cube do that Steampipe cannot?
Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

Answered from the vendors’ own pages

Cube: What is the cost per developer on Cube?

Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.

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.

Cube: What uptime SLAs does Cube offer?

Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.

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.

Cube: Can I use Cube for free?

Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.

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.

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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