Metabase Alternatives
Six tools to replace <em>Metabase</em>, for heavier analysis, a free cloud option, full open source or a dbt semantic layer, and when Metabase is still the right call.
Power BI is the strongest Metabase alternative in 2026 for most teams: the Free account builds reports on a Windows desktop, and Power BI Pro at $14 per user a month, paid yearly, shares them with colleagues. Data Studio, the free Google tool once called Looker Studio, is the fastest swap for marketing dashboards. Apache Superset is the closest open source replacement, under the permissive Apache 2.0 license, and Preset hosts it free for up to 5 users. Grafana suits time series and monitoring, Lightdash suits teams that already model metrics in dbt, and Holistics suits data teams that want governed self-service from $800 a month, paid yearly.
Metabase is still a pleasant tool for quick questions. People look elsewhere because row and column permissions and SSO start on Pro at $575 a month, every login counts as a paid user on the paid plans, and custom chart types also wait for Pro.
The ranking is editorial: a sponsored placement is always flagged on its card, and no affiliate link changes a score.
Why people look past Metabase
Metabase is a business intelligence tool: you connect it to a database or a warehouse, then ask questions with a point and click query builder or in SQL, and save the answers as charts and dashboards. The Open Source edition is free and self-hosted under the AGPL license, with unlimited users. Metabase Cloud and the paid licenses add hosting, security and support: Starter at $100 a month, Pro at $575 a month, Enterprise from $20,000 a year.
Before you compare, know the three units this category bills on. The user is anyone who logs in. The viewer is someone who only reads a shared or embedded dashboard. The instance or platform is a flat fee for the whole workspace, whatever the head count. Metabase counts users; some alternatives count viewers, projects or nothing at all. Here are the reasons we found most often, each with the fact behind it.
Row level security and SSO wait on Pro
Every login is a paid seat on the paid plans
Open source embeds carry the Metabase logo
Custom chart types wait for Pro
Usage fees appear on Cloud
Self-hosting is free, running it is not
Microsoft Power BI
Power BI is Microsoft's business intelligence suite. You build reports in Power BI Desktop, model the data with relationships and DAX measures, then publish them to the Power BI service where colleagues read, filter and subscribe to them. Where Metabase starts from a question asked of one database, Power BI starts from a data model that joins several sources, including Excel files, SharePoint lists and Dynamics. That is the usual reason to move to it: the questions got harder, the data lives in more places, and the company already pays Microsoft.
How the price reads against Metabase: Power BI counts users who create or read shared content, with no instance fee. The Free account builds reports in Desktop but cannot share them; you upgrade to Pro or Premium to share. Pro costs $14 per user a month, paid yearly, and Premium Per User $24. On yearly billing, a 20 person team pays $3,360 a year on Pro, against $2,055 on Metabase Starter and $7,510 on Metabase Pro, which is where row level security sits.
Tip: count readers, not just authors. Pro is the license that lets a colleague access reports shared with them, so 5 analysts and 45 readers on Pro cost $700 a month, paid yearly. Readers only go free on a Fabric capacity of F64 or above. Watch the Pro limits too: 1 GB per semantic model and 8 refreshes a day, against 100 GB and 48 refreshes on Premium Per User. Row level security is defined in the model, but it only filters people with Viewer permission, not workspace Admins, Members or Contributors. For wider options, see our best BI and data visualization tools ranking and our Power BI alternatives page for the reasons teams leave it. To push rows into a dataset, use our Power BI integration with Zapier or our Make integration for Power BI.
- Free account to build reports
- Pro at $14 per user a month
- Data models that join many sources
- ✓Deep modeling with DAX measures
- ✓Native fit with Excel and SharePoint
- ✓Per user price, no instance fee
- ✗Sharing needs a paid license for every reader
- ✗Desktop builder runs on Windows
- ✗Steeper learning curve than Metabase
| Criterion | Microsoft Power BI | Metabase |
|---|---|---|
| Entry price | $0 Free, $14 Pro per user a month, yearly | $0 self-hosted, $100 Starter |
| What it bills on | Users who share or read | Users who sign in |
| Row level security | In the data model | From Pro at $575 |
Data Studio (formerly Looker Studio)
Data Studio is Google's free dashboard and reporting tool, sold for a few years as Looker Studio and now back under its first name. You connect a source such as Google Analytics, Google Ads, Sheets or BigQuery, drag charts onto a canvas, and share the report like a Google Doc. Where Metabase asks you to host or pay for a server, Data Studio runs in your browser with a Google account. People move to it when Metabase was mostly used for marketing dashboards, or when nobody wants to maintain an instance any more.
How the price reads against Metabase: Data Studio is available at no charge for creators and report viewers, so a 20 person team pays $0, against $190 a month on Metabase Starter. Data Studio Pro adds team content management, Google Cloud support and administrative controls for $9 per user per project a month; 20 users in one project come to $180 a month. Billing by project means a second project for another department is a second bill, and the price per user varies with the length of the subscription.
Tip: the free tier is self-service, with no support line, so plan for the help forum. Data from tools outside Google often needs a connector or an automation to land in Sheets or BigQuery first, for example with our Make integration for Looker Studio. If your warehouse is not ready yet, our best data warehouse ranking helps you pick one, and our Looker Studio alternatives page lists where teams go when they outgrow it.
- $0 for creators and viewers
- Shares like a Google Doc
- Native Google Analytics and Ads sources
- ✓Nothing to install or host
- ✓Free sharing with any Google account
- ✓Fast for marketing dashboards
- ✗Google Cloud support comes with Pro
- ✗Weak for ad hoc SQL exploration
- ✗Pro is billed per user and per project
| Criterion | Data Studio (formerly Looker Studio) | Metabase |
|---|---|---|
| Entry price | $0, Pro $9 per user per project a month | $0 self-hosted, $100 Starter |
| Hosting | Google runs it | You or Metabase Cloud |
| What it bills on | Pro: users per project | Users who sign in |
Apache Superset and Preset
Apache Superset is an open source business intelligence web application maintained at the Apache Software Foundation. It has a SQL editor, a no-code chart builder, a semantic layer of datasets and metrics, and dashboards with cross filters. Preset hosts it for you as a managed cloud. Where Metabase is built for business users asking simple questions, Superset is built for analysts: more chart types and more settings. People move to it when Metabase's charts feel limiting, or when the AGPL license worries their legal team.
How the price reads against Metabase: Superset ships under the Apache 2.0 license, which lets you modify and embed it in a commercial product without publishing your code or showing a badge. Self-hosted, it costs only your servers. Preset Starter is $0 for up to 5 users in 1 workspace; Professional is $20 per user a month paid yearly, or $25 monthly, with unlimited users and role-based access control. On yearly billing, a 20 person team pays $4,800 a year on Professional, against $7,510 on Metabase Pro. Embedding on Preset is an add-on: viewer licenses start at $500 a month for 50 viewers. SSO, SCIM and audit logs are Enterprise features on Preset, priced on quote, so a company that needs SSO skips Professional.
Tip: business users find chart building steeper than Metabase's query builder, so keep a few curated datasets for them. If you plan to feed Superset from a Postgres database, our n8n Postgres integration shows how to load data into it.
- Apache 2.0 license, no badge
- Free hosted Starter for 5 users
- 40+ visualization types on Preset
- ✓Fully open source and embeddable
- ✓Strong SQL editor for analysts
- ✓Preset removes the hosting work
- ✗Harder for non-technical users
- ✗Self-hosting needs several services
- ✗SSO only on Preset Enterprise, on quote
| Criterion | Apache Superset and Preset | Metabase |
|---|---|---|
| License | Apache 2.0 | AGPL |
| Hosted entry price | $0 for 5 users on Preset | $100 Starter for 5 users |
| Embedding | Free self-hosted, $500 a month for 50 viewers on Preset | Badge on Open Source and Starter |
Grafana
Grafana is an open source visualization and alerting platform. It queries a data source live, from Postgres and MySQL to Prometheus, Elasticsearch or, through a plugin, BigQuery, and draws the result on dashboards that refresh on their own. Where Metabase is made to answer business questions on tables, Grafana is made to watch numbers move: signups per minute, error rates, orders per hour. People move to it when most of their Metabase dashboards were really live monitors.
How the price reads against Metabase: Grafana OSS is free and self-hosted under the AGPL-3.0 license, the same family of license as Metabase. Grafana Cloud is free for up to 3 active users a month. Cloud Pro has a $19 monthly platform fee that includes 3 active users, then $8 per active user, so a team of 20 pays $155 a month, against $190 on Metabase Starter. Enterprise plugins raise the user price to $55, and Enterprise contracts start at $25,000 a year.
Tip: check the other meters before you scale. Metrics on Grafana Cloud are free up to 10k active series a month, and logs up to 50 GB ingested a month, then pay as you go. The free tier keeps data 14 days; Pro keeps metrics 13 months and logs 30 days. If you pipe events into it, our n8n Grafana integration automates annotations and alerts, and our Grafana alternatives page covers its own limits.
- Free Cloud tier for 3 active users a month
- Live, auto-refreshing dashboards
- Built-in alerting
- ✓Huge library of data source plugins
- ✓Great for time series
- ✓Bills active users only
- ✗Weak for ad hoc business questions
- ✗SQL panels are code-first
- ✗Several meters to watch on Cloud
| Criterion | Grafana | Metabase |
|---|---|---|
| Entry price | $0 for 3 active users a month | $100 Starter for 5 users |
| License | AGPL-3.0 | AGPL |
| Best at | Live monitoring and alerts | Business questions on tables |
Lightdash
Lightdash is a business intelligence tool built around metrics defined as code. It reads your dbt project, or standalone Lightdash YAML pointed at your warehouse if you do not use dbt, turns the models and metrics you defined there into a catalog, and lets business users pick dimensions and metrics to build charts and dashboards. Charts and dashboards can also be managed as code in Git. Where Metabase keeps its own definitions of segments and metrics inside the tool, Lightdash keeps them in dbt, so the same revenue number appears in every chart. People move to it when two Metabase dashboards show two different revenues.
How the price reads against Metabase: Lightdash does not charge per seat. The open source edition is free to self-host, with code outside its enterprise folder under the MIT license. Cloud Pro starts at $3,000 a month with unlimited users, scheduled deliveries, alerts and a private Slack channel. That is above Metabase Pro for a small team, but the break-even is close: Metabase Pro reaches $3,035 a month at 215 users ($575 plus 205 times $12). Embedding is metered: the first 1,000 chart loads are free, then $0.05 per load.
Tip: a dashboard with 4 embedded charts counts as 4 loads, so 10,000 customer views are 40,000 loads, $1,950 on pay as you go. The Predictable option, $790 a month for 100k loads per Embed Worker, costs less from about 16,800 loads. Single sign-on on Cloud Pro is Google only; Okta, Azure and SAML come with Enterprise. For the pipeline that feeds dbt, see our best ETL and data integration tools.
- No per-seat pricing
- Metrics defined once in dbt
- Automated migration from your current BI on Cloud Pro
- ✓One source of truth for metrics
- ✓MIT-licensed open source core
- ✓Unlimited users on every edition
- ✗Metrics must be modeled in code first
- ✗Cloud Pro starts at $3,000 a month
- ✗Embedding billed per chart load
| Criterion | Lightdash | Metabase |
|---|---|---|
| What it bills on | Flat, unlimited users | Users who sign in |
| Metric definitions | In dbt | Inside Metabase |
| Hosted entry price | $3,000 a month | $100 a month |
Holistics
Holistics is a self-service BI platform with its own modeling language. Analysts define datasets, joins and metrics as code, version them in Git, and business users explore those datasets by dragging fields, without writing SQL. It also builds canvas dashboards that mix charts, filters and text, and schedules data deliveries to several destinations. Where Metabase lets anyone query any table, Holistics makes analysts curate what people can explore. People move to it when Metabase grew into hundreds of questions nobody trusts.
How the price reads against Metabase: Holistics bills a flat plan with 10 users included, then a price per extra user. Entry costs $800 a month paid yearly, or $960 monthly, and caps you at 100 reports; another 100 reports cost $100 a month paid yearly, or $120 monthly. Standard is $1,000 a month paid yearly with unlimited reports, custom charts, Google SSO and your own Git repository. Extra users cost $12.50 a month yearly, or $15 monthly. On yearly billing, a team of 20 on Standard pays $13,500 a year, against $7,510 on Metabase Pro.
Tip: count your reports before choosing Entry, since saved dashboards add up fast. Enterprise SAML SSO, SCIM provisioning and records-based access control are not on Standard: they come with the Security Compliance Suite plan, $2,000 a month paid yearly or $2,400 monthly. If your readers mostly want marketing dashboards, our best marketing reporting tools ranking has lighter options.
- Modeling layer as code with Git
- 10 users included
- Canvas dashboards with text and charts
- ✓Trusted, curated self-service
- ✓Strong for analysts who like code
- ✓Scheduled data delivery from Entry
- ✗Entry caps you at 100 reports
- ✗Starts at $800 a month
- ✗Needs an analyst to model first
| Criterion | Holistics | Metabase |
|---|---|---|
| Entry price | $800 a month yearly, 10 users | $517.50 a month yearly, 10 users on Pro |
| Extra user | $12.50 a month yearly | $130 a year on Pro |
| Modeling | Code, versioned in Git | In the interface |
6 Metabase alternatives compared
We compared each tool on its official pricing, license and documentation pages, at its US price. Scores are our editorial score out of 5, the plain average of five criteria: ease of use, value for money, features and depth, customer support and assistance, and available integrations. The last column says what each tool counts to price you, which is the first thing to check when you leave a tool that counts every login.
| Best for | What it bills on | Free plan | Team size | Visit | ||||
|---|---|---|---|---|---|---|---|---|
| 1 | Microsoft Power BI | Best overall Metabase replacement | Users who share or read reports | 4.3/5 | Free account; Pro $14 per user a month, paid yearly; Premium Per User $24 a month, both paid yearly | ✓ | Companies on Microsoft 365 | Visit → |
| 2 | Data Studio (formerly Looker Studio) | Best free cloud option | Nothing on the free tier; Pro per user per project | 4.0/5 | Free for creators and viewers; Data Studio Pro $9 per user per project a month | ✓ | Marketing teams | Visit → |
| 3 | Apache Superset and Preset | Best open source replacement | Nothing self-hosted; Preset per user | 3.9/5 | Superset free (Apache 2.0, self-hosted); Preset Starter $0 up to 5 users; Professional $20 per user a month, paid yearly ($25 monthly) | ✓ | SQL data teams | Visit → |
| 4 | Grafana | Best for time series and monitoring | Active users plus a $19 platform fee | 3.9/5 | Self-hosted OSS free (AGPL); Cloud free for 3 active users a month; Pro $19 a month platform fee with 3 users, then $8 per active user | ✓ | Engineering and ops | Visit → |
| 5 | Lightdash | Best for dbt teams | Flat per instance, unlimited users | 3.8/5 | Open source self-hosted free (MIT); Cloud Pro from $3,000 a month with unlimited users | ✓ | dbt teams | Visit → |
| 6 | Holistics | Best for governed self-service | Flat for 10 users, then per user and reports | 3.8/5 | Entry $800 a month paid yearly ($960 monthly) for 10 users; Standard $1,000 ($1,200); extra user $12.50 ($15) | — | Small data teams | Visit → |
Prices in US dollars, excluding taxes, as listed in 2026. Metabase for reference: Open Source free, Starter $100 a month for 5 users, Pro $575 a month for 10 users ($90 and $517.50 a month paid yearly), Enterprise from $20,000 a year.
Is your tool missing from this page? Email us: hello@hackceleration.com
You're leaving Metabase because... take this
Pro at $14 per user a month, paid yearly.
You want shareable dashboards and a budget of zeroData StudioFree for creators and viewers.
Your legal team is wary of the AGPLApache SupersetApache 2.0, free hosted on Preset for 5 users.
Your dashboards are really live monitors with alertsGrafanaCloud free for 3 active users a month.
Your metrics already live in dbt and you have many readersLightdashUnlimited users, Cloud Pro from $3,000 a month.
Nobody trusts the hundreds of saved questions any moreHolisticsModeling in code, 10 users from $800 a month yearly.
How to choose a Metabase alternative
A business intelligence tool sits between your data and the people who ask questions. It connects to a database or a warehouse such as Postgres, BigQuery or Snowflake, sends queries, and turns the answers into charts and dashboards. The tool itself usually stores no data: it reads it live or from a cache. What separates the tools is the layer in the middle. Metabase lets anyone query raw tables. Power BI, Holistics and Lightdash put a model in between, where analysts define joins and metrics once, so every chart counts revenue the same way. Superset and Grafana sit closer to SQL. The first decision is who builds: business users, analysts, or engineers.
The second is the unit you pay for. Count three numbers before you price anything: people who build, people who only read, and people outside the company who see embedded dashboards. A tool that bills per user (Power BI, Preset, Metabase Cloud) is cheap for a few builders and expensive for many readers. A flat instance price (Lightdash, Holistics) does the opposite. Embedding often has its own meter: viewers on Preset, chart loads on Lightdash. Ask each vendor for row level security, SSO, scheduled email reports and an export of your dashboards, and check on which plan each one starts. For wider options, read our best BI and data visualization tools ranking, and our Retool alternatives if what you really need is an internal app rather than dashboards.
Other guides also list Looker, Tableau, Redash and ThoughtSpot. We left them out of the ranking. Looker, Google's enterprise product, sells every edition (Standard, Enterprise and Embed) through its sales team on an annual commitment of one to three years, with 10 standard users and 2 developer users included, far beyond a Metabase budget. Tableau is a heavier visual analysis suite: we rank it in our BI ranking, next to Power BI, and our Tableau alternatives page explains why teams leave it. Redash is still open source under BSD-2 and still ships releases, but its hosted service closed in 2021 when the team refocused on Databricks SQL, so it is self-hosted only. ThoughtSpot and Amazon QuickSight appear in a few lists too; we kept the ranking to tools with a clear Metabase use case.
Price your second tier, not your first
Count readers before authors
Embedded analytics has its own meter
Read the license, not the word open source
Plan the migration
Metabase alternatives, your questions
Can I use Metabase open source inside a commercial product?
Yes, under conditions. The Open Source edition is licensed under the AGPL, so you must abide by it; to embed iframes in your app you either follow the AGPL, follow the Embedding License and keep the "Powered by Metabase" logo, or buy a commercial license.Is Apache Superset harder to self-host than Metabase?
Yes, it has more moving parts. A Superset installation is the application plus a metadata database (PostgreSQL or MySQL), a cache, and workers with a scheduler; most installations use Redis and Celery, which alerts, reports and async queries need.Does Power BI work on a Mac?
Not the desktop builder. Power BI Desktop needs Windows 10 or Windows Server 2016 or later, so Mac users run it in a Windows virtual machine; reading, filtering and sharing published reports happens in the browser, in the Power BI service.What is the difference between Metabase Pro and Enterprise?
Feature-wise none, it is the same software. Enterprise starts at $20,000 a year and adds a dedicated success engineer, a 1-day support SLA, help with procurement and custom pricing; air-gapped deployment is available on Enterprise alone, for an extra fee.Can I export my dashboards out of Metabase before switching?
In bulk, only on Pro and Enterprise. Serialization, which exports collections, dashboards and questions as YAML files, is only available on those plans, self-hosted or on Cloud, where it runs through the API. On Open Source or Starter, you copy the SQL of each question you keep, by hand or through the API, for example with our n8n Metabase integration.Does Apache Superset have row level security?
Yes, in the free open source version. Row Level Security filters, under the Security menu, add a clause such as department = "finance" to the WHERE of every query run by the roles you assign to a dataset. With template processing enabled, the clause can use Jinja, for example to filter on the current username.What happened to Looker Studio?
Google renamed it Data Studio, its original name, and keeps the self-service tier at no cost. The paid tier is now Data Studio Pro, billed per user per project, and it adds customer-managed encryption keys for the assets you build.Can Data Studio connect to a Postgres or MySQL database?
Yes. Google ships its own connectors for PostgreSQL, MySQL, Microsoft SQL Server and Amazon Redshift. Watch the volume: the PostgreSQL connector returns at most 150K rows per query and truncates the rest, so aggregate in a custom query or move heavy tables to BigQuery first.