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 Tableau, its type and who it suits best
An analyst can spend an afternoon on layout that an agent writes in a minute.
“I can ask Cursor to spin up a chart in Streamlit and it looks equally nice, costing me a minute vs 2 hours of frustrating Tableau Container resizing.”
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 renewal went up, and your viewers far outnumber your builders.
You want dashboards in git, with a review before they ship.
Your team would rather ask an agent than resize containers.
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.
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.
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.
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.
Metabot in every plan, with Slack and an MCP server.
Pricing
Metabase is free to host yourself. Cloud Starter is $100 a month with 5 users, then $6 for each user. Pro is $575 a month with 10 users, then $12 for each user. Enterprise starts at $20,000 a year. Git sync and row-level permissions need Pro or Enterprise.
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.
It depends on why you are leaving. For teams whose own AI agent builds and answers on governed metrics, Kater. For Microsoft shops, Power BI. For teams committed to Google Cloud and BigQuery, Looker. For business users who think in spreadsheets, Sigma. For a free BI tool you host yourself, Metabase. 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 Tableau?
Yes. Metabase and Lightdash are 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 Tableau to Kater?
One command moves one dashboard. Kater rebuilds it as a private draft in minutes, checks its numbers against Tableau, and waits for you to publish. We do the migration for free.
Can we keep Tableau and add Kater?
Yes, for as long as you want. Both read the same warehouse. Keep Tableau 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 Tableau, then move the next one.