Metabase vs Superset: Pricing, Setup, and the Real Difference Between Metabase and Apache Superset
A straight comparison of Metabase and Apache Superset, the two most popular open-source BI tools, with prices we read from the vendors rather than copied. We build a plain-English analytics tool, so we tell you below exactly where we fit and where we do not.
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Direct answer
Metabase and Apache Superset are both open-source BI tools you can self-host for free. Metabase is the friendlier one: non-technical users build questions through a point-and-click interface, and paid cloud plans start at $100 a month. Superset is more powerful and more technical, favored by data engineers, with richer charts and a SQL-first workflow; its managed cloud, Preset, starts free for up to five users. Choose Metabase for business users, Superset for engineering teams.
Last updated July 2026
›_ side by side
Metabase vs Apache Superset, honestly.
| Dimension | Metabase (Metabase) | Apache Superset (Apache) |
|---|---|---|
| License and cost | Open source (AGPL), free to self-host; paid Metabase Cloud plans on top. | Apache 2.0, free to self-host; no official Apache cloud (Preset is the managed option). |
| Ease of use | Built for non-technical users: a point-and-click question builder anyone can learn. | Built for technical users: strongest in SQL Lab and for people comfortable with data modeling. |
| Setup effort | Easy to stand up; a single container or the hosted cloud gets you running quickly. | Heavier to deploy and operate; expects engineering to run and maintain it. |
| Charting and visuals | Clean, sensible defaults; covers the common chart types most teams need. | Richer, more configurable visuals via Apache ECharts, with more chart types. |
| Ask-a-question workflow | A visual query builder plus a native SQL editor; friendly for self-serve. | SQL Lab for writing queries plus a chart builder; more analyst-oriented. |
| Managed cloud | Metabase Cloud, first-party, from $100 a month for the Starter plan. | Preset, the commercial managed Superset, free for up to five users then $20 a user. |
| Governance and scale | Row and column permissions, sandboxing and SSO in the paid tiers. | Fine-grained roles and permissions built in; scales well with engineering support. |
| Best fit | Business teams and startups that want self-serve dashboards without hiring for it. | Data and engineering teams that want a powerful, extensible, self-hosted platform. |
Comparison reflects our understanding of publicly available information and is meant to be fair, including where each tool beats us. Vendors evolve; verify the latest before deciding.
›_ what it costs
Metabase vs Apache Superset pricing.
| Plan | Metabase | Apache Superset |
|---|---|---|
| Self-hosted | Open Source edition, free, unlimited users | Apache Superset, free, unlimited users (Apache 2.0) |
| Free cloud tier | No free cloud tier (14-day trial) | Preset Starter, free, up to 5 users |
| Entry paid cloud | Starter, $100 a month, 5 users included ($90 a month billed annually), $6 per extra user | Preset Professional, $20 per user per month billed annually ($25 monthly) |
| Pro tier | Pro, $575 a month, 10 users included ($517.50 a month billed annually), $12 per extra user | Preset Enterprise, quote-only, adds full AI and embedded features |
| Enterprise | Enterprise, quote-only, custom terms and support | Embedded viewer licenses from $500 a month for 50 licenses |
Metabase prices were read from metabase.com/pricing and Preset prices from preset.io/pricing on 21 July 2026. Apache Superset itself is free open source under Apache 2.0. Vendors change pricing and enterprise deals are negotiated, so confirm current numbers before you commit.
›_ the call
Which one should you pick?
01
Choose Metabase if
Your users are not analysts and you want them building their own questions without learning SQL. Metabase is the easiest open-source BI tool to stand up and to hand to a business team, and the hosted cloud removes the ops work entirely. You pay for that convenience once you move past self-hosting, with Starter cloud at $100 a month.
02
Choose Apache Superset if
You have a data or engineering team and you want the most powerful, extensible open-source platform. Superset gives you richer visuals through ECharts, fine-grained permissions and a SQL-first workflow, and it is genuinely free to self-host under Apache 2.0. The cost is operational: it takes real engineering to deploy and run well.
03
Neither, if the real problem is questions
Both tools still assume someone builds the dashboard or writes the query, and everyone else reads the result. If your bottleneck is that people keep asking one-off questions and waiting on whoever knows the data, another self-hosted dashboard will not fix it. That is the gap we built Agentsql for, and it is a different job from what Metabase and Superset do.
What is the difference between Metabase and Superset?
Both are open-source BI tools you can self-host for free, but they aim at different users. Metabase is built for non-technical people to answer their own questions. Apache Superset is built for technical teams that want a powerful, extensible platform. Ease of use against depth is the core trade.
Metabase leads with a point-and-click question builder. Someone in marketing or ops can pick a table, filter it, group it and get a chart without writing SQL, and there is a native SQL editor for when they need it. It is the friendliest open-source BI tool to hand to a business team, and the easiest to stand up.
Superset leads with SQL Lab and Apache ECharts. It gives analysts and engineers a richer chart library, finer permissions and more room to extend the platform, but it expects more from whoever runs and uses it. It is heavier to deploy and steeper to learn, and it rewards teams that have engineering to invest.
The short rule: pick Metabase when the audience is business users, and Superset when the audience is data people who want power and control.
Is Metabase or Superset cheaper?
Both are free to self-host, so the base software cost is zero either way. The real cost is what happens after that: the engineering time to run it, and whether you move to a managed cloud.
On managed cloud, Superset's option, Preset, is cheaper to start: it is free for up to five users, then $20 a user per month. Metabase Cloud has no free tier and starts at $100 a month for its Starter plan, rising to $575 a month for Pro. So for a small team wanting a hosted tool, Preset is the lower entry price.
Self-hosting flips the math toward whoever is easier to run. Metabase is simpler to operate, so it costs less engineering time. Superset is more work to deploy and maintain, which is a real cost even though the license is free. Count the ops time, not just the license, when you compare.
Which is easier to use, Metabase or Superset?
Metabase is easier, clearly. Its question builder lets non-technical users filter and group data through a visual interface, and most people are productive in an afternoon. That approachability is the main reason teams pick it over Superset.
Superset is more capable but expects more. Its strength is SQL Lab and configurable ECharts visuals, which suit analysts and engineers, but a business user without SQL will struggle where a Metabase user would not. If your audience is non-technical, Metabase wins on this axis by a wide margin.
Where a third option fits
We build Agentsql, so treat this section as interested rather than neutral. It is here because the Metabase vs Superset question often hides a different one.
Both tools, even Metabase, still put a builder between the question and the answer. Someone sets up the dashboard or writes the query, and everyone else reads what they made. That is fine for standing reports. It is poor for the long tail of one-off questions, because each one waits on whoever knows the data model.
Agentsql connects read-only to Postgres, MySQL, Snowflake or BigQuery, turns a plain-English question into SQL, runs it, and returns a chart, a table and a one-line answer, with the SQL shown every time so an analyst can check the work. There is nothing to self-host and no query to write first. It starts at $49 a month.
It is not a replacement for a full BI platform, and we would rather say so. If you need governed dashboards a team maintains, run Metabase or Superset. Plenty of teams keep one of those for the standing dashboards and use something like us for the questions in between.
›_ frequently asked
Metabase vs Apache Superset questions, answered.
Is Metabase or Superset better?
Neither is universally better. Metabase is better for non-technical users and teams that want the easiest open-source BI tool to run, with a point-and-click question builder. Superset is better for data and engineering teams that want richer visuals, finer permissions and a SQL-first, extensible platform. Match the choice to how technical your users are.
Is Metabase or Superset cheaper?
Both are free to self-host under open-source licenses, so the software costs nothing either way. On managed cloud, Preset (managed Superset) is cheaper to start, free for up to five users then $20 a user, while Metabase Cloud starts at $100 a month. The bigger cost is engineering time to run it, where Metabase is easier and Superset is heavier.
Is Apache Superset really free?
Yes. Apache Superset is free and open source under the Apache 2.0 license, with no paid tier and no per-user fee when you self-host it. The costs are indirect: the servers to run it and the engineering time to deploy, secure and maintain it. Preset is a separate commercial company that offers managed Superset hosting for a fee.
Which is easier to learn, Metabase or Superset?
Metabase is easier to learn. Its visual question builder lets non-technical users filter and group data without SQL, and most people are productive within a day. Superset is more powerful but expects comfort with SQL and data modeling, so it suits analysts and engineers more than business users learning BI for the first time.
Do you need to know SQL to use Metabase or Superset?
Not for Metabase basics: its question builder works without SQL, though a SQL editor is there when you want it. Superset leans harder on SQL Lab, so real use expects SQL knowledge. If writing SQL is the actual barrier for your team, a tool that turns plain-English questions into SQL removes it without self-hosting either platform.
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