Metabase Alternative

Analytics that learns your business.

Metabase builds dashboards. Kyomi builds understanding — and gets smarter every time you ask a question.

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TL;DR ​

Metabase is a traditional BI tool — dashboards, visual query builder, charts. It added AI features (Metabot) as an assistant layer on top, but the core product is still the point-and-click interface.

Kyomi is AI-native. The entire product is built around an AI agent that understands your data. It has built-in MCP tools, a Slack bot that answers questions with live charts, and a knowledge system that accumulates your business context over time. There's no "AI mode" to toggle on — the agent IS the product.

Choose Metabase if you want a visual query builder and your team is comfortable building dashboards manually.

Choose Kyomi if you want an AI agent that learns your business, builds dashboards for you, monitors your data proactively, and works natively in Slack, Claude Code, and Cursor.

How they compare ​

AI and natural language ​

Metabase

Metabot generates SQL from natural language and creates charts, but it's limited to single-level aggregation and can't use custom expressions. No accumulated knowledge — every session starts from scratch.

Kyomi

AI is the core experience. Ask complex questions in plain English and get SQL-backed answers with visualizations. Kyomi remembers your metric definitions, table relationships, and business rules across every conversation.

Dashboards ​

Metabase

Strong visual query builder (point-and-click) and drag-and-drop dashboard layout. Built for teams that want to manually create and maintain dashboards.

Kyomi

Describe what you want and the AI copilot builds it using ChartML — a code-based format that's version-controllable. Full SQL editor for power users. PDF export included.

Monitoring ​

Metabase

Basic alerts on dashboard cards — set a threshold and get notified. Limited to simple conditions on existing charts.

Kyomi

Kyomi Watch — AI agents that scan your data on a schedule. "Alert me if daily signups drop below the 7-day average." Kyomi writes the query, runs it, and alerts with context about what changed.

Integrations ​

Metabase

Primarily a standalone web app. Embedding SDK for building analytics into your product. Slack sends scheduled dashboard snapshots.

Kyomi

Same AI in the web app, Slack (@kyomi with interactive charts), and your IDE via MCP (Claude Code, Cursor). Business knowledge follows you everywhere.

Deployment ​

Metabase

Open source (AGPL), free to self-host. Cloud plans start at $85/month + $6/user. Requires infrastructure maintenance for self-hosted deployments.

Kyomi

Open source (AGPL), free to self-host. Cloud at $5/user/month. One Docker Compose command to deploy. Kyomi Connect (Apache 2.0) for on-prem credential isolation with Cloud.

Side-by-side ​

FeatureMetabaseKyomi
AI natural language queriesBasicCore experience
Accumulated business knowledge—✓
Visual query builder✓—
SQL editor✓✓
DashboardsDrag-and-dropAI-generated (ChartML)
AI data monitoringBasic alerts✓ Kyomi Watch
Forecasting—✓
Slack integrationDashboard snapshotsInteractive AI (@kyomi)
IDE integration (MCP)—✓ Claude Code, Cursor
Embedded analytics SDK✓—
Website analytics—✓
Open source / self-host✓ AGPL✓ AGPL
Datasources20+9
Cloud pricing$85/mo + $6/user$5/user

Where Metabase wins ​

Honest comparison. Metabase is a mature, well-established tool and there are areas where it's the better choice:

  • Embedded analytics — Metabase's embedding SDK lets you build analytics directly into your product for your end users. Kyomi doesn't offer embedding.
  • Visual query builder — point-and-click interface for non-technical users who prefer deterministic query building over AI.
  • Datasource breadth — Metabase supports 20+ databases. Kyomi currently supports 9.
  • Maturity — Metabase has been around since 2015 with a large community and proven track record at scale.

Where Kyomi wins ​

  • AI that learns your business — metric definitions, table relationships, business rules compound over time. Metabase starts from scratch each session.
  • Proactive monitoring — Kyomi Watch deploys AI agents that scan your data and alert with context. Metabase only alerts on simple thresholds.
  • Forecasting — built-in trend predictions with confidence intervals.
  • Workflow integration — interactive AI in Slack, Claude Code, and Cursor via MCP. Not just dashboard snapshots.
  • Simpler pricing — $5/user/month flat vs. $85/month base + per-user. Both are AGPL, both can be self-hosted for free.

Who should use what ​

Metabase is a better fit if you:

  • Want to embed analytics in your product
  • Prefer a visual query builder over AI
  • Have a dedicated BI team to build dashboards
  • Need to connect to niche or legacy databases

Kyomi is a better fit if you:

  • Want AI analytics that gets smarter over time
  • Need answers without writing SQL
  • Want proactive monitoring, not just dashboards
  • Work across Slack, IDE, and web
  • Want simpler pricing and deployment

See Kyomi in action.

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