Metabase is the best BI tool for most startups and small teams: people who don't write SQL can still answer their own questions, and the open-source version is free to self-host. Data Studio (Google's free reporting tool, formerly Looker Studio) is the zero-cost pick if your data already lives in Google. Power BI is only cheap when your Microsoft plan already includes Pro, which Microsoft 365 E5 does. Choose on who writes the queries, because that decides everything else.
Beyond those three: Preset (managed Superset) and Lightdash are the open-source-backed options with real modelling, Tableau leads on visual depth at enterprise cost, and Hex and Omni are the newer analyst-first tools. And if the dashboard needs to sit inside an app you built, next to the data it reports on, that is a different shape: describing it to Greta builds it.
The dashboard tool is rarely the reason a small team's reporting fails. The reason is that nobody agreed what the numbers mean.
Who writes the queries?
That question sorts the category faster than any feature list. Nobody technical → Metabase's query builder or Data Studio. One analyst → Hex, Omni, Preset, or Metabase with SQL. A data team with dbt → Lightdash or Looker. On a Microsoft 365 E5 plan → Power BI, where Pro is included; Microsoft's licensing page says that otherwise you buy Pro per user, so check before assuming it is bundled. Buying a tool designed for the next tier up is the most common expensive mistake here.
What is the best BI tool for a startup?
For most startups it is Metabase. The open-source edition is free with unlimited users if someone can run it, and the Starter cloud plan is $100 a month with five users included when nobody wants to (as of September 2026). Non-technical teammates can build questions by clicking, and the SQL editor is there for whoever can write it.
Three situations change the answer:
- All your data is already in Google (Sheets, GA4, BigQuery) and the budget is zero: Data Studio. Google says it is available at no charge for creators and viewers.
- You already model your data in dbt: Lightdash, which reads your dbt project instead of asking you to define metrics a second time. Self-host the open-source version, because Cloud Pro is $3,000 a month.
- One analyst lives in notebooks: Hex. The Community plan is free and Professional is $36 per editor a month.
What a startup should not do is buy Tableau or a per-seat enterprise contract for a team of eight. You will be paying for depth nobody uses yet.
At a glance
| Tool | Who it is for | Free option | Paid entry point (as of September 2026) |
|---|---|---|---|
| Metabase | Small teams, non-technical questions | Open source, self-hosted, unlimited users | Starter cloud $100/month with 5 users, then $6 per user |
| Data Studio (formerly Looker Studio) | Google-centric reporting | Free for creators and viewers | Data Studio Pro $9 per user per project per month |
| Preset | Managed Superset, analyst-led | Starter, free for up to 5 users | Professional $20 per user/month billed annually ($25 monthly) |
| Lightdash | Teams with a dbt project | Open source, self-hosted | Cloud Pro $3,000/month, unlimited users |
| Power BI | Microsoft shops on the right plan | Free account (cannot share reports) | Pro $14 per user/month paid yearly; included in Microsoft 365 E5 |
| Tableau | Visual depth, enterprise | Tableau Desktop Free Edition (local files) | Creator $75 per user/month, annual contract |
| Hex | Analyst-first notebooks | Community plan | Professional $36 per editor/month |
| Omni | Analyst modelling and BI | Free trial | Not published; request a demo |
| Greta | Dashboards inside the app you built | 5 credits a day | Starter $20/month ($5 with the welcome offer) |
Prices checked on each vendor's own pricing page and stamped as of September 2026. Every vendor here re-tiers, so verify live before budgeting.
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The tools, briefly
Metabase earns its default status: someone non-technical really can answer a question without SQL, and the self-hosted version is genuinely free. Its Metabot can also turn a plain-language question into a query and return the chart or table. Data Studio, which Google renamed from Looker Studio, costs nothing and connects to Google's world effortlessly; it gets awkward once your data is not in that world. If you are searching for Looker Studio, it is the same product under a new name.
Preset gives you Superset without operating Superset, which is a real service. Superset itself is open source, and Preset's Starter plan is free for up to five users. Lightdash is the right answer when your semantics already live in dbt: it reads your models rather than asking you to redefine them in a BI tool, which is where definition drift usually starts.
Power BI is hard to argue against on price if your Microsoft plan already includes it. Pro is included in Microsoft 365 E5; on other plans, Microsoft sells it separately at $14 per user a month, paid yearly. The licence that bites is the viewer's: on shared capacity, only Pro users can consume content another Pro user shares. So one person who builds and eight people who read is nine Pro licences, not one. That changes on Premium capacity (P1 and above) or a Fabric F64 or larger SKU, where people on a free licence can view (check Microsoft's current licensing documentation before you plan around it). For reports that must stay on-premises there is Power BI Report Server, which Microsoft licenses through Fabric F64+ reserved instances or SQL Server licensing.
Tableau remains the strongest at visual analysis and prices accordingly: Creator is $75 per user a month on an annual contract, and every deployment needs at least one Creator. It can also run on your own infrastructure, through Tableau Server. Hex and Omni are built for analysts who want notebooks and modelling in the same place, and they are overkill for a team whose main need is a weekly number. Hex publishes its prices; Omni does not, and offers a demo or a free trial instead.
The problem no BI tool solves
Definition drift. Finance's "active customer" excludes trials; the product dashboard's includes them; the board deck uses a third number from a spreadsheet. Every tool above will faithfully render all three. The fix is a written definition per metric, owned by a name, referenced by the dashboard. That is process, not software, and no purchase substitutes for it. The dashboard review guide is the checklist for catching drift before it reaches a board deck, and testing analytics events without sending customer data covers the step before that: making sure the events feeding the dashboard fire when they should.
When the dashboard belongs inside the app
If the numbers you report on are generated by an app you built, a separate BI tool means a connection, a sync and a second place to maintain definitions. Building the reporting into the app, by describing it to Greta, keeps the definition next to the data that produces it, and the team already has logins. Our guide to building an internal admin dashboard without engineers walks through that build. The free plan gives you 5 credits a day; Starter is $20/month ($5 with the current welcome offer).
Stated plainly, because it matters: this is not a BI tool. Ad-hoc exploration, cross-source joins, scheduled distribution, drill-downs and the visualisation library that Tableau has spent twenty years on are all things you would be giving up. If people need to ask questions nobody anticipated, buy Metabase. This path fits a fixed set of numbers that belong to one app. And once those numbers exist, best A/B testing tools covers what to do when you want to move one of them on purpose.
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FAQ
What is the best BI tool for a startup? Metabase for most startups: free and open source if you self-host it, or $100 a month for the Starter cloud plan with five users (as of September 2026). Pick Data Studio instead if all your data is in Google and the budget is zero, and Lightdash if your team already models data in dbt.
What is the best free BI tool? Metabase self-hosted if you can run it, Data Studio (formerly Looker Studio) if you cannot and your data is in Google. Both are genuinely usable rather than crippled trials.
Metabase or Power BI? Power BI if your Microsoft plan already includes Pro (Microsoft 365 E5 does) and someone will learn it. Price the viewers as well as the author before deciding, because on shared capacity every viewer needs Pro too. Metabase if non-technical people need to answer their own questions without training.
Do I need a warehouse first? Not to start: most tools connect directly to a production replica. You need one when queries start affecting the application, or when you need to join sources. Reading from the primary database is the shortcut that works until it suddenly does not.
Why do two dashboards show different numbers? Almost always different definitions, not a bug. Compare the filters and the date boundaries before suspecting the tool, and write the agreed definition down once you find the difference.
