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Spreadsheets · head to head

Redash vs Semantic Kernel

Redash logo

Redash

Spreadsheets

Connect and visualize your data

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: Redash pricing model not disclosed on dedicated pricing page; Semantic Kernel steep learning curve for advanced features
  • They diverge on capability: Redash covers SQL Query Editor, 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 Redash and Semantic Kernel actually diverge.

Attributes where Redash and Semantic Kernel differ
AttributeRedashSemantic Kernel
Pricing modelfreemiumOpen source, no pricing
PlatformsWeb, Self-hosted, CloudPython, .NET, Java
CategorySpreadsheetsMachine Learning
Founded2013Unknown

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

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.

Redash

  • Data visualization and business intelligence for analyticsnot Semantic Kernel
  • Query result sharing and collaborative dashboard creationnot Semantic Kernel

Semantic Kernel

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

Where each one falls short

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

Redash

  • Pricing model not disclosed on dedicated pricing page
  • Open-source offering may require self-hosting technical expertise
  • Managed hosting or commercial support pricing not published

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

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

Semantic Kernel

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

Which should you pick?

Choose Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.
Redash 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 Redash or Semantic Kernel better?
Neither clearly leads. Redash 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, Redash or Semantic Kernel?
Redash starts at Free and Semantic Kernel at Free.
Does Redash or Semantic Kernel run on more platforms?
Redash runs on Web, Self-hosted, Cloud. Semantic Kernel runs on Python, .NET, Java.
Can I use Redash for free?
Both have a free tier, so you can try either at no cost before committing.
What is Redash best used for?
Redash is most often used for data visualization and business intelligence for analytics, query result sharing and collaborative dashboard creation. Of those, data visualization and business intelligence for analytics and query result sharing and collaborative dashboard creation are not what Semantic Kernel is typically brought in for.
What can Redash do that Semantic Kernel cannot?
Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Semantic Kernel covers Multi-model support, Agent framework, Multi-agent systems, Plugin ecosystem.

Answered from the vendors’ own pages

Redash: What is Redash's pricing?

Redash is a popular open-source project with no pricing tiers listed on the pricing page. The project emphasizes no vendor lock-in and community contribution. Paid managed hosting or commercial support options may be available but are not published on this page.

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
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
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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