Best Tableau Alternatives in 2026: Open-Source and Hosted BI Tools, Including Power BI Alternatives

The best Tableau alternatives fall into two camps: tools for quick dashboards and tools for governed, shared metrics. Metabase and Apache Superset are open-source BI tools you can host yourself, Power BI and Looker Studio are the best-known hosted options, and Looker and Lightdash define metrics once in a semantic layer so every report agrees.

Tableau is a commercial analytics product, now part of Salesforce, for exploring data and building interactive dashboards. This guide covers twelve Tableau alternatives and doubles as a list of Power BI alternatives, since the same trade-offs apply. The table shows live licence, hosting, pricing and GitHub data.

Why people look for Tableau alternatives

Tableau connects to data sources and builds interactive charts and dashboards that analysts share with colleagues. Enlisted lists it as closed source, sold as a cloud service and as server software, with a desktop authoring app. Several things push teams toward other tools:

• It is a commercial product with no open-source edition. There is no free self-hosted community version, so every route is a paid licence. Enlisted does not hold Tableau's plan prices, so confirm current editions and costs on tableau.com.
• Authoring and sharing are separate pieces. Tableau pairs a desktop authoring app with cloud or server software, so teams that want a browser-only tool may prefer a lighter option.
• You may want to control hosting. Open-source BI tools run on your own servers, which matters when data cannot leave your network.
• Many teams only need simple dashboards. If the job is charts over a SQL database, a lighter tool can be quicker to adopt.
• Metric definitions can drift. Where many people build dashboards, a semantic layer or metrics-as-code tool keeps numbers consistent.

Power BI is Microsoft's BI tool, and its reasons overlap. It is closed source and hosted, it integrates with Microsoft 365 and Microsoft Fabric, and it has a free account plus paid per-user plans and capacity-based options for embedding. Teams outside the Microsoft ecosystem, or those who want to self-host, look elsewhere.

How we picked

A tool made this list if it can connect to data, build charts or reports and share them, which is the core job of Tableau and Power BI. Open-source projects needed a clear licence, recent GitHub activity and a self-hosting route, and Enlisted notes each licence as listed. A published pricing model, including how users are counted, is what put hosted options on the list. Descriptions come from catalogue data and vendor documentation alone, with no product runs behind them. See how Enlisted ranks tools.

Do you need governed semantic models or quick dashboards?

BI tools differ most in how they treat metric definitions, so decide this before comparing features:

• Quick dashboards: an analyst connects a database, writes a query or uses a chart builder, and publishes a dashboard. Metabase, Redash, Looker Studio and Zoho Analytics work this way. It is fast to start and fits small teams, but two people can define "revenue" differently.
• Governed semantic models: a data team defines tables, joins and metrics once in a central model, and every dashboard draws on those definitions. Looker is built around this idea, Lightdash defines metrics as code on a shared context layer, and Cube is a headless semantic layer that feeds other BI tools. Apache Superset includes a lightweight semantic layer.
• Analytics as code: reports are written in SQL and Markdown and kept in version control, which is the approach of Evidence, with Lightdash also keeping charts and dashboards as files.

If a handful of analysts build dashboards for their own team, start with the first group. If many teams need numbers that match, or you embed analytics in a product, the second group saves rework later.

1. Metabase: best open-source BI for people who do not write SQL

Metabase is an open-source BI and embedded analytics tool meant for everyone in a company, not only analysts. People can ask questions about their data without knowing SQL, while an SQL editor is available for more complex queries. That focus on non-technical users is its main difference from SQL-first tools such as Redash.

It offers interactive dashboards with filters and auto-refresh, alerts and scheduled subscriptions to email, Slack or a webhook, embedding of charts and dashboards in apps, and an AI assistant called Metabot. The repository says the open-source edition is released under the AGPL and that commercial editions use the Metabase Commercial Software License. Enlisted lists the licence as Other, so check which features you need. There is a self-hosted edition and a cloud with a trial.

• Best for: teams that want self-serve analytics for non-technical users, with the option to self-host or embed.
• Watch out for: AGPL has obligations when you modify or embed it, and some capabilities sit in paid editions under a separate licence.

2. Apache Superset: best open-source option for analysts who want flexibility

Apache Superset is a web-based data exploration and visualization platform from the Apache project that can augment or replace proprietary BI tools. A no-code chart builder sits next to a web-based SQL editor, so it serves both business users and analysts.

A lightweight semantic layer lets teams define reusable dimensions and metrics. Charts range from simple bar charts to geospatial views, a caching layer reduces database load, and security roles are extensible. It can query any SQL datastore for which a Python database driver and SQLAlchemy dialect exist, including Presto, Trino and Athena. It is licensed under Apache-2.0.

• Best for: self-hosted dashboards for analysts, and teams that want a permissive licence.
• Watch out for: you install, configure and maintain it yourself, or pay a vendor such as Preset to host it.

3. Redash: best for SQL-first teams sharing queries

Redash is a browser-based tool for querying databases, visualizing results and sharing dashboards, with scheduled refreshes and alerts. People who write SQL connect a data source, run queries and turn results into charts that colleagues without SQL skills can read.

The editor accepts SQL and NoSQL queries and offers a schema browser and auto-complete. Charts are built by drag and drop, and each chart or query has a shareable URL for collaboration and review. It is licensed under BSD-2-Clause, and Enlisted lists no hosted version.

• Best for: engineering and analytics teams that live in SQL and want a lightweight dashboard and alerting layer.
• Watch out for: it is query-first, so non-technical users depend on someone to write the queries.

4. Lightdash: best for metrics defined as code on top of dbt

Lightdash is an open-source BI platform for data teams that want analytics shipped like software. Metrics, joins, permissions and business logic are defined once in a context layer, which then feeds dashboards, embedded analytics, SDKs and AI agents. That makes it a governed-metrics tool rather than a drag-and-drop dashboard builder.

Metrics, charts and dashboards live as files you can edit, preview with the CLI, validate in CI and review in pull requests. Its README describes running it on your own infrastructure with Docker or Kubernetes, and says enterprise features need a licence key. Enlisted lists the licence as Other. Cloud pricing lists unlimited users and a trial.

• Best for: data teams that already use dbt and want version-controlled, governed metrics.
• Watch out for: it assumes a data team that maintains the models, and enterprise features need a licence key.

5. Evidence: best for reports written in SQL and Markdown

Evidence is a code-first BI tool where reports and dashboards are written as Markdown with SQL queries, kept in version control. It replaces the drag-and-drop builder that Tableau is known for with a document-and-code workflow.

A project is created from an installer for macOS, Linux or Windows, and the result can be published on Evidence Studio for hosted reports or built as a static site and self-hosted. It is MIT licensed. Evidence Cloud has a single flat price with unlimited users and a trial.

• Best for: analysts who are comfortable with SQL and Git and want reports they can review like code.
• Watch out for: there is no point-and-click builder, so business users cannot create reports without learning the format.

6. DataEase: best open-source option positioned as a Tableau lookalike

DataEase is an open-source BI tool where you build charts and dashboards by dragging and dropping, and it describes itself as an open-source alternative to Tableau. It is developed by FIT2CLOUD in Java and supports sharing and embedding of results.

It connects to common databases, OLAP engines, Excel and CSV files and API sources, and installs with Docker on a Linux server. Enlisted lists its licence as Other: V3 uses the FIT2CLOUD Open Source License, essentially GPLv3 with extra restrictions, and commercial licensing is available. The project README is in Chinese.

• Best for: teams that want drag-and-drop dashboards on their own servers.
• Watch out for: the licence adds restrictions beyond GPLv3, and the primary documentation is in Chinese, so check both before adopting it.

7. Power BI: best for Microsoft-centered organizations

Power BI is Microsoft's business intelligence platform for building interactive dashboards and reports from cloud or on-premises data. For Tableau users it is the best-known hosted alternative, and the natural option if your company already runs on Microsoft 365.

The product family includes Power BI Desktop, Pro, Premium, Embedded and Report Server, and it sits inside the Microsoft Power Platform. Microsoft highlights integration with Microsoft Fabric and Copilot in Fabric. There is a free account to start, paid Pro and Premium Per User plans priced per user, and Embedded and Fabric capacity that vary. If you are leaving Power BI instead, skip to the section on Power BI alternatives below.

• Best for: organizations built around Microsoft 365 and Fabric, and teams that want governed company-wide reports.
• Watch out for: it is closed source and hosted only, and the family of editions means you must work out which licence each viewer needs.

8. Looker Studio: best free hosted tool for marketing and small-team reports

Looker Studio, listed in Enlisted under its earlier name Data Studio, is Google's free dashboarding and reporting tool. It connects to Google products, spreadsheets, databases and marketing platforms, and you assemble interactive charts and tables in a drag-and-drop editor.

Reports are shared like Google Docs, with scheduled email delivery and templates to start from. It is widely used by marketers and small teams for performance reports because it costs nothing and fits with Google Analytics and Google Ads. It is hosted by Google, with no self-hosted version.

• Best for: free dashboards over Google data and spreadsheets, especially client marketing reports.
• Watch out for: it is a reporting tool rather than a modelled, governed layer, and Google's separate Looker product is the one built around a semantic model.

9. Looker: best for governed metrics across a large organization

Looker is a Google Cloud BI platform built around a semantic modeling layer, where data teams describe tables, relationships and metrics in a central model so dashboards and ad hoc analysis share the same governed definitions. This is the clearest example of the governed approach.

Looker queries data in the connected database or warehouse rather than keeping a separate copy, and it is typically used by analysts and data teams who want consistent metrics across an organization. It is delivered as a hosted Google Cloud service, and pricing is by contact.

• Best for: larger organizations that need one set of metric definitions for many teams.
• Watch out for: it needs a data team to build and maintain the model, and it is closed source and hosted only.

10. Preset: best managed Apache Superset

Preset is a managed business intelligence service built on Apache Superset, offering hosted dashboards, embedded analytics and AI chat features for teams that want Superset without running it. Its core product, Preset Cloud, is fully managed.

The line also includes a managed private cloud option, Preset Certified Superset for deploying a QA-approved build on any infrastructure, embedded dashboards and an API for managing workspaces as code. It has a free Starter plan with a user limit, a paid Professional plan priced per user and a trial.

• Best for: teams that like Superset but do not want to operate it.
• Watch out for: it is a proprietary service built on an open-source project, so you pay for the convenience and depend on the vendor.

11. Qlik: best associative engine for large enterprises

Qlik is a business intelligence and data integration platform built on an associative analytics engine, now combined with Talend's data quality tools. Its engine lets users see how related data points connect rather than following predefined drill paths.

It can be consumed as a cloud service or run on customer-managed infrastructure, and it is used mostly by mid-sized and large organizations. The broader offering covers data integration, quality and analytics.

• Best for: enterprises that want BI plus data integration and quality in one vendor.
• Watch out for: it is a paid enterprise product, and Enlisted holds no published plan prices for it.

12. Zoho Analytics: best for teams already using Zoho apps

Zoho Analytics is a self-service BI and reporting product from Zoho. Business users connect files, databases and cloud apps, then build reports and dashboards by dragging fields onto a canvas, and an AI assistant answers questions in natural language.

It integrates readily with other Zoho applications, which makes it a common choice for companies that run on Zoho CRM, and it is aimed at small and mid-sized businesses. There is a free plan limited by users and rows, a trial of paid plans and an on-premise option.

• Best for: small and mid-sized businesses that use Zoho CRM and related apps.
• Watch out for: the free plan is limited, and its strongest fit is inside the Zoho ecosystem.

What are the best BI tools for your team?

If you came for a short answer to "best BI tools", match the tool to who builds reports:

Looking for Power BI alternatives?

The tools above also work as Power BI alternatives. If you want to host the software yourself, Metabase and Apache Superset are the main open-source routes, and Preset hosts Superset for you. If Power BI's tie to Microsoft products is the issue, Looker Studio and Looker sit in the Google ecosystem, while Qlik and Zoho Analytics are independent vendors. If you are replacing Power BI because of per-user cost, check how each tool counts users: Evidence Cloud and Lightdash Cloud list flat pricing with unlimited users, and self-hosted tools carry no per-seat licence at all. See the Power BI alternatives page for more.

Other options worth a look

• Hosted BI platforms: Sigma gives a spreadsheet-style interface over a cloud data warehouse, ThoughtSpot is built around natural-language search, Sisense targets embedded analytics, Hex mixes SQL and Python notebooks with shared apps, and Domo combines dashboards and data pipelines.
• Dashboards for agencies and marketing teams: Klipfolio and Databox pull metrics from connected tools into shared dashboards.
• Open-source building blocks: Cube is a headless semantic layer, Shaper builds SQL-first dashboards on DuckDB, Chartbrew turns API and database data into embeddable charts, and Frappe Insights is an AGPL-3.0 tool with a query builder that grew out of the Frappe and ERPNext world.
• Publishing data: Datasette turns SQLite databases into explorable websites with a JSON API.

Which Tableau alternative should you choose?

More Tableau alternatives are listed on Enlisted, and the business intelligence category has the rest.

Before you switch: what to check

List your most-used dashboards and rebuild the two most complex ones in your shortlist, because chart types, calculated fields and interactivity differ between tools. Confirm that the tool connects to your data sources by checking its own documentation rather than a marketing list, and decide whether queries will hit your production database or a separate warehouse. If your data lives in a warehouse, the Snowflake alternatives guide covers the engines behind it. For self-hosted tools, name who owns upgrades, access control and backups, and for hosted tools compare how each one counts users before you commit to a plan.