Metabase alternatives

Teams leave Metabase for different reasons. Here are the tools they move to.

8 alternatives to Metabase: who each one suits, what it costs, and where it falls short. If Metabase still fits, the last section says so.

Kater makes Kater, one of the tools on this list. We list it first. Every fact about another tool comes from its own docs and pricing pages, and each card says where that tool is strong. Reviewed October 2026.

The short version

Each alternative to Metabase, its type and who it suits best
Tool Type Best for
Kater BI for people and agents Teams whose own AI agent builds and answers on governed metrics
Tableau Visual analytics Analysts who draw custom visuals by hand
Power BI Microsoft BI Microsoft shops
Looker Semantic BI Teams committed to Google Cloud and BigQuery
Sigma Spreadsheet BI Business users who think in spreadsheets
Hex Notebook BI Analysts who work in Python notebooks
Omni Modern semantic BI Dashboard-first teams that want a governed model
Lightdash BI on dbt Teams that keep their metrics in dbt

Why teams look for a Metabase alternative

The work happens in a GUI.

Questions and dashboards are made by clicking. Git sync is a paid feature, and users say coding agents struggle with the exported files.

“The downside is that the development workflow is GUI-based, not code-based or hybrid… which can be frustrating at times.”
r/BusinessIntelligence, December 2024

Metrics drift as dashboards multiply.

Metabase metrics are query-builder formulas on one data source. When a table changes, the questions built on it break, one by one.

“Renaming a column breaks dozens of questions that reference it”
Metabase community forum, November 2025

Simple charts, with a low ceiling.

Users like the clean charts until they need more control. Some of the most requested features have been open for years.

“I loved Metabase for its elegant simplicity but if you want complex control over visualization it is not for you.”
r/BusinessIntelligence, July 2024

Every viewer is a paid user.

Paid plans charge for each user, including people who only read dashboards. Git sync and row-level permissions sit in the higher plans.

“the flat $12/user fee makes scaling expensive”
Metabase community forum, August 2026

The 8 alternatives

01

Kater

BI for people and agents By Kater

Best for teams whose own AI agent builds and answers on governed metrics

Your data team defines each metric once, in SQL. Your coding agent builds models, queries, dashboards and apps as files in git, and Kater compiles every change. People read dashboards in the browser, or ask in Slack, Claude or ChatGPT, and every answer uses the same metrics.

A good fit if

  • Your dashboards disagree, and nobody knows which one is right.
  • You want your agent to build dashboards, not click through a GUI.
  • You want each metric defined once, in SQL, with tests.
  • Your warehouse is Snowflake or DuckDB.

Watch out for

  • Kater connects to Snowflake and DuckDB today.
  • Embedding is in development.
  • Kater is not open source. Your content is files you can clone and keep.
  • Kater is a young company.

AI

None of its own. Your agent: Claude, ChatGPT, Claude Code, Codex or Cursor.

Pricing

A 30-day free trial with every feature, then a subscription quoted for your team. Kater does not charge per viewer or per dashboard. Kater runs no chat of its own, so answers run in the agent your team already uses.

02

Tableau

Visual analytics By Salesforce

Best for analysts who draw custom visuals by hand

Tableau is the best tool for drawing charts by hand.

A good fit if

  • Your analysts build highly custom visuals by hand, and love it.
  • You need offline work on extracts in Tableau Desktop.
  • You embed Tableau views in your own product.

Watch out for

  • Renewals jump under Salesforce.
  • The product stopped moving.
  • No version control, and no checks.
  • Building by hand is slow next to an agent.

AI

Hosted Tableau MCP connects Claude and ChatGPT. Tableau Agent needs Cloud+ or the Tableau+ Bundle.

Pricing

Tableau Cloud is priced per user per month, billed annually. Standard is $75 for a Creator, $42 for an Explorer and $15 for a Viewer. Enterprise is $115, $70 and $35. Tableau Agent needs Cloud+ or the Tableau+ Bundle, priced by quote, and Tableau Next starts at $40 a user a month.

03

Power BI

Microsoft BI By Microsoft

Best for Microsoft shops

Power BI is the default in Microsoft shops.

A good fit if

  • You are a Microsoft shop, and Power BI comes with your E5 licenses.
  • Your analysts live in Excel and Power Query.
  • Your data is in Fabric, SQL Server or Azure.
  • You embed Power BI reports in your own product.

Watch out for

  • DAX is hard to write, and harder to debug.
  • Costs climb, and everything points to Fabric.
  • Git came late, and it breaks.
  • Copilot uses up capacity, not your backlog.

AI

Copilot, which needs Fabric capacity, and an MCP server for governed models.

Pricing

Power BI Pro is $14 a user a month and Premium Per User is $24, after increases in April 2025. Below an F64 capacity, every viewer needs a paid license. Fabric capacity runs from about $263 a month for F2 to about $8,410 for F64, pay as you go. Copilot needs F2 or higher.

04

Looker

Semantic BI By Google Cloud

Best for teams committed to Google Cloud and BigQuery

Looker made the governed model and git normal in BI.

A good fit if

  • You embed Looker in your own product.
  • You are committed to Google Cloud, BigQuery and Gemini.
  • Your LookML project is large, stable and well staffed.

Watch out for

  • LookML is a second language.
  • Only the model is in git.
  • The price keeps going up.
  • The core product moves slowly.

AI

Conversational Analytics in Looker and Gemini Enterprise. The managed MCP server is in preview.

Pricing

Looker sells a platform edition (Standard, Enterprise or Embed) plus Developer, Standard and Viewer users, on annual terms. Google lists no prices. The Standard edition lists at $60,000 a year on AWS Marketplace, before users. Conversational Analytics will be metered in data tokens after its promotional period.

05

Sigma

Spreadsheet BI By Sigma Computing

Best for business users who think in spreadsheets

Sigma puts a spreadsheet on the warehouse.

A good fit if

  • Your business users want to build their own analysis in a spreadsheet grid.
  • You need input tables that write back to the warehouse.
  • You embed analytics in your own product.
  • Your warehouse is BigQuery, Databricks or Redshift.

Watch out for

  • Git keeps a copy. Sigma keeps the work.
  • Builder seats get rationed.
  • Agents cost extra.
  • It looks like Excel, but it is not Excel.

AI

A Sigma MCP server for Claude, ChatGPT and Cursor. Sigma Agents are a paid add-on.

Pricing

Sigma does not publish prices. Its AWS Marketplace listing shows an Enterprise platform at $150,000 a year, with creator and explorer seats at $2,000 each and free viewers. Vendr reports a median contract near $65,000 a year. Sigma Agents are a premium add-on, metered in credits.

06

Hex

Notebook BI By Hex Technologies

Best for analysts who work in Python notebooks

Hex is a great notebook for analysts.

A good fit if

  • Your analysts write one-off Python in notebooks for statistical work.
  • Exploration matters more to you than governed dashboards.
  • Your warehouse is BigQuery, Databricks or Postgres.

Watch out for

  • Notebooks multiply, and numbers drift.
  • Dashboards are not its strength.
  • Git is an export, not the source.
  • Credits cap the AI.

AI

Threads in Hex and Slack. Each person needs an Explorer seat, and use draws on credits.

Pricing

Hex charges for each editor: $36 a month on Professional and $75 on Team, with Enterprise by quote. Business users who ask Threads need an Explorer seat. Agent use draws on monthly credits, and 50 more credits cost $25.

07

Omni

Modern semantic BI By Omni Analytics

Best for dashboard-first teams that want a governed model

Omni builds governed BI around the dashboard.

A good fit if

  • Dashboards are how most of your company reads data.
  • Business users want to drag and drop their own analysis.
  • You embed analytics in your own product.
  • Your warehouse is BigQuery, Databricks, Redshift or Postgres.
  • You are leaving Looker and want a familiar model with a modern UI.

Watch out for

  • The dashboard is the center.
  • The agent is Omni’s, not yours.
  • Only the model is in git, and it is YAML.
  • Topics take work to set up.

AI

Omni Agent in the app and in Slack, and an MCP server.

Pricing

Omni does not publish prices. Vendr reports a median contract near $28,000 a year. AI use runs on credits with overage billing.

08

Lightdash

BI on dbt By Lightdash

Best for teams that keep their metrics in dbt

Lightdash brings BI to your dbt project.

A good fit if

  • You want your metrics to stay inside your dbt project.
  • You want open source, or you host your own tools.
  • You need to embed analytics in your own product today.
  • Your warehouse is BigQuery, Databricks, Redshift, Postgres or ClickHouse.

Watch out for

  • Metrics are YAML.
  • Business users find it hard.
  • Content as code is optional.

AI

AI agents in the app and in Slack, and an MCP server. In Slack, an agent uses its creator’s access unless an admin requires sign-in.

Pricing

Lightdash is free to host yourself. Cloud Pro is $3,000 a month, with no charge for each seat.

When to stay with Metabase

  • You need a free tool that you host yourself.
  • Your data is in Postgres, MySQL or BigQuery.
  • You embed dashboards in your own product.
  • You have a few dashboards and a small team.
Kater vs Metabase, row by row

Questions

What is the best alternative to Metabase?

It depends on why you are leaving. For teams whose own AI agent builds and answers on governed metrics, Kater. For analysts who draw custom visuals by hand, Tableau. For Microsoft shops, Power BI. For teams committed to Google Cloud and BigQuery, Looker. For business users who think in spreadsheets, Sigma. For analysts who work in Python notebooks, Hex. For dashboard-first teams that want a governed model, Omni. For teams that keep their metrics in dbt, Lightdash.

Is there a free alternative to Metabase?

Yes. Lightdash is open source and free to host yourself. Their cloud plans are paid. Kater has a 30-day free trial with every feature.

How do we move from Metabase to Kater?

Ask your agent to migrate one dashboard. Kater rebuilds it as a private draft on your warehouse, and you compare the numbers before you publish. We do the migration for free.

Can we keep Metabase and add Kater?

Yes, for as long as you want. Both read the same warehouse. Keep Metabase for its dashboards, and add Kater to give your team’s agent one definition for each metric, your context and your access rules. When you want, rebuild one dashboard in Kater, compare the numbers with Metabase, then move the next one.

Moving from Metabase? We do the migration for free.

Tell us what you want to move. We do the migration with you, on your warehouse, and we do not charge for it. Then compare the numbers and decide.