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Spreadsheets · head to head

Metabase vs Semantic Kernel

Metabase logo

Metabase

Spreadsheets

Fast analytics with the friendly UX

From
Free
Rated
-
Full reviewWebsite
Semantic Kernel logo

Semantic Kernel

Machine Learning

Model-agnostic SDK for AI orchestration

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Metabase aI Service charges $3.75 per 1 million tokens (after 1M free tokens included); Semantic Kernel steep learning curve for advanced features
  • They diverge on capability: Metabase covers No-code Query Builder, Semantic Kernel covers Multi-model support.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Metabase and Semantic Kernel actually diverge.

Attributes where Metabase and Semantic Kernel differ
AttributeMetabaseSemantic Kernel
Pricing modelfreemiumOpen source, no pricing
PlatformsWeb, Self-hosted cloudPython, .NET, Java
CategorySpreadsheetsMachine Learning
Founded2014Unknown

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 Metabase

  • No-code Query Builder
  • SQL Editor
  • Interactive Dashboards
  • Alerts
  • Embedding
  • PostgreSQL
  • MySQL
  • MongoDB

Only in Semantic Kernel

  • Multi-model support
  • Agent framework
  • Multi-agent systems
  • Plugin ecosystem
  • Vector database integration
  • Multimodal support
  • Local model support
  • Enterprise observability

What people use each for

The jobs each tool is most often brought in to do.

Metabase

  • Business intelligence and data exploration for non-technical usersnot Semantic Kernel
  • Embedded analytics for SaaS applicationsnot Semantic Kernel
  • Self-service reporting and dashboard creationnot Semantic Kernel
  • Integration with 40+ data sources including cloud warehousesnot Semantic Kernel

Semantic Kernel

  • Building enterprise AI applications with LLM integrationnot Metabase
  • Creating multi-agent systems for complex workflowsnot Metabase
  • Developing AI-powered chatbots and assistantsnot Metabase
  • Implementing RAG systems with vector databasesnot Metabase

Where each one falls short

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

Metabase

  • AI Service charges $3.75 per 1 million tokens (after 1M free tokens included)
  • Transforms cost $0.01 per run after 1,000 included runs per month
  • Advanced Transforms cost $0.02 per run after included allocation
  • Storage overages start at $2 per 1M rows (1M rows free)
  • All yearly plans offer 10% discount versus monthly, incentivizing annual commitment

Semantic Kernel

  • Steep learning curve for advanced features
  • Documentation focuses on Azure cloud services
  • Configuration complexity for multi-model scenarios
  • Requires understanding of AI/LLM concepts

Pricing, plan by plan

Metabase

Free
  • Open SourceFree
    • Unlimited users
    • Unlimited questions and dashboards
    • AI-powered query generation
  • Starter$90/month
    • Email and chat support
    • $100/month standard monthly billing
    • 20+ data connectors
  • Pro$517.5/month
    • $575/month standard monthly
    • Row/column-level permissions
    • SSO
  • Enterprise$20000/year
    • Dedicated success engineer
    • 1-day support response SLA
    • Air-gapped deployment

Semantic Kernel

Free
  • Open SourceFree
    • MIT license
    • Full framework access
    • All language SDKs

Which should you pick?

Choose Metabase if

  • You need no-code query builder.
  • You want to start without paying.
  • You work on Web, Self-hosted cloud.
  • You also want sql editor.
Metabase review

Choose Semantic Kernel if

  • You need multi-model support.
  • You want to start without paying.
  • You work on Python, .NET, Java.
  • You also want agent framework.
Semantic Kernel review

Questions people ask

Is Metabase or Semantic Kernel better?
Neither clearly leads. Metabase starts at Free and Semantic Kernel at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Metabase or Semantic Kernel?
Metabase starts at Free and Semantic Kernel at Free.
Does Metabase or Semantic Kernel run on more platforms?
Metabase runs on Web, Self-hosted cloud. Semantic Kernel runs on Python, .NET, Java.
Can I use Metabase for free?
Both have a free tier, so you can try either at no cost before committing.
What is Metabase best used for?
Metabase is most often used for business intelligence and data exploration for non-technical users, embedded analytics for saas applications, self-service reporting and dashboard creation, integration with 40+ data sources including cloud warehouses. Of those, business intelligence and data exploration for non-technical users and embedded analytics for saas applications are not what Semantic Kernel is typically brought in for.
What can Metabase do that Semantic Kernel cannot?
Metabase covers No-code Query Builder, SQL Editor, Interactive Dashboards, Alerts. Semantic Kernel covers Multi-model support, Agent framework, Multi-agent systems, Plugin ecosystem.

Answered from the vendors’ own pages

Metabase: How much does Metabase cost?

Metabase Open Source is free for self-hosted deployments with unlimited users and dashboards. Cloud-hosted Starter tier costs $90/month annually ($100/month monthly) with Pro at $517.50/month annually ($575/month monthly). Enterprise plans start at $20,000 per year.

Source
Semantic Kernel: What LLM providers does Semantic Kernel support?

Semantic Kernel supports OpenAI, Azure OpenAI, Hugging Face, Nvidia, and other providers through extensible model implementations.

Source
Metabase: Does Metabase charge for additional users?

Yes, Metabase charges per-user fees beyond included users. Starter includes 5 users at $6 per additional user per month. Pro includes 10 users at $12 per additional user per month. Enterprise pricing is custom.

Source
Semantic Kernel: Can I run Semantic Kernel locally?

Yes. Semantic Kernel supports local models through Ollama, LMStudio, and ONNX for complete data control and offline operation.

Source
Metabase: What usage-based fees does Metabase charge?

Metabase charges $3.75 per 1 million tokens for AI services (after 1M free tokens), $0.01 per transform run after 1,000 included per month, $0.02 for advanced transforms, and storage overages at $2 per 1M rows beyond the included 1M rows.

Source
Semantic Kernel: Is Semantic Kernel free?

Yes. Semantic Kernel is MIT-licensed open source and completely free. You only pay for external LLM APIs you use.

Source
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