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Business Intelligence · head to head

Sisense vs Steampipe

Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Free plan
No
Visit SisenseFull 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

  • Sisense is an AI-driven analytics platform.
  • Steampipe has a free plan, then $49/mo; Sisense starts at $10000/yr.
  • Only Sisense lists AI/ML Integration; only Steampipe lists SQL over live APIs.
  • Where Sisense falls short: pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Sisense and Steampipe actually diverge.

Attributes where Sisense and Steampipe differ
AttributeSisenseSteampipe
Starting price$10000/yearFree
Free tierNoYes
PlatformsWeb, Self-hostedmacOS, Linux, Windows, Self-hosted, Web
CategoryBusiness IntelligenceDeveloper Tools

Not yet recorded: pricing model for Sisense, 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 Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

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.

Sisense

  • 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 Sisense
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Sisense
  • Inventory and drift questions spanning several cloud providers in one querynot Sisense
  • Engineers who would rather write SQL than learn each provider command line toolnot Sisense

Where each one falls short

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

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

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

Sisense

$10000/year
  • Small Team$10,000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-MarketOn request
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60,000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

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 Sisense if

  • You need embedded analytics.
  • You work on Web, Self-hosted.
  • You also want ai/ml integration.
Sisense 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 Sisense or Steampipe better?
Neither clearly leads. Sisense starts at $10000/year and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Sisense or Steampipe?
Steampipe has a free tier; the other does not. Paid plans start at $10000/year for Sisense and Free for Steampipe.
Does Sisense or Steampipe run on more platforms?
Sisense runs on Web, Self-hosted. Steampipe runs on macOS, Linux, Windows, Self-hosted, Web.
Can I use Steampipe for free?
Yes. Steampipe has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Sisense best used for?
Sisense 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 Sisense do that Steampipe cannot?
Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

Answered from the vendors’ own pages

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

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.

Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

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.

Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

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.

Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

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.

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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