Metabase vs. clariBI: a fair look at when each fits
Metabase is open-source BI built around databases and SQL. clariBI is hosted BI built around business apps and plain-English questions. Here is where each one is the better choice, including the cases where you should pick Metabase.
Metabase and clariBI are both used by small teams to answer questions about their numbers, but they start from different places. Metabase starts from a database: you point it at your tables and query them by clicking or with SQL. clariBI starts from the business apps you already use (Stripe, HubSpot, Google Ads, Google Analytics and so on): it syncs them, builds a dashboard for each and answers questions about them in plain English.
Which one fits depends mostly on where your data lives and who will ask the questions. This comparison tries to be straight about both. For a side-by-side table with plan details, see the clariBI vs. Metabase comparison page.
What Metabase is
Metabase is an open-source BI tool. You can run the open-source edition on your own servers without a license fee, or pay Metabase to host it. You connect it to a database or warehouse, and people build "questions" either with a click-based query builder or in SQL, then collect them into dashboards. It is popular with engineering-led teams because the model is simple: your tables, your queries, your charts.
Where Metabase is the better choice
- You want to self-host. If your data must stay on your own infrastructure, or you want BI without a license fee and have someone to run it, the open-source edition is hard to beat. clariBI is a hosted service only.
- Your data is already in a database or warehouse. Metabase supports a wide range of databases and warehouses, including Snowflake, BigQuery and Redshift, and queries the full tables where they live. clariBI connects to four databases (PostgreSQL, MySQL, SQL Server and Oracle) and copies tables in on each sync, up to a row cap per table that depends on your plan: 3,000 rows on Free and Trial, up to 100,000 on Enterprise. For large tables you point clariBI at an aggregated view, as the database connection guide explains.
- Your team writes SQL. Metabase gives analysts a proper SQL editor alongside the builder. clariBI is built around asking questions in plain English rather than writing queries.
- You need embedded analytics. Metabase offers embedding for putting charts inside your own product. clariBI has no embedded analytics product; its public links open a dashboard or report in a browser.
Where clariBI is the better choice
- Your data lives in SaaS apps, not a database. clariBI connects directly to 80 API connectors, 86 MCP apps (from the Trial plan up) and Google, Meta and Atlassian products such as Google Ads, GA4, Search Console, Meta Ads and Jira, plus file uploads. There is no warehouse or ETL job to set up first. With a database-first tool, you would first need to get Stripe and HubSpot data into a database.
- The people asking questions do not write SQL. In clariBI you type "What was revenue by week next to ad spend for the last quarter?" and get a chart and a short written answer. The language model plans the analysis and writes the text; the numbers are computed by ordinary analytics code on your data, and any narrated figure the chart data cannot back is removed. See how Ask clariBI works.
- You want dashboards without building them. Every connected source gets an automatic dashboard, on every plan including Free.
- You want forecasts. From Starter up, clariBI forecasts a metric with statistical methods chosen by backtest, shows 50%, 80% and 95% prediction bands and tests your other metrics as possible drivers. No language model is involved in the forecast maths.
- You do not want to run infrastructure. Nothing to install, upgrade or back up.
Honest limits on both sides
Self-hosting Metabase is free in licenses but not in time: someone owns upgrades, backups, authentication and the application database it keeps its own settings in. If nobody on the team wants that job, use a hosted plan or a hosted tool.
clariBI's limits are different. It reads data; it does not write back to your apps. Plain-English questions and AI reports need AI credits, which the Trial (50), Starter (500), Professional (1,500) and Enterprise (5,000) plans include each month; Free and Lite have none. Workspaces, public links, scheduled reports and the REST API are on Professional and Enterprise.
Pricing models
We will not quote Metabase's prices here because they change; check their pricing page. The structural difference is worth knowing: Metabase's open-source edition has no license cost, and its paid plans include a set number of users. clariBI is priced per organization with a user allowance per plan: Free $0 (1 user), Lite $19 a month (1 user), Starter $99 (3 users), Professional $199 (15 users) and Enterprise $999 (100 users). The pricing page has the full limits.
A quick way to decide
Pick Metabase if your data is in a database or warehouse, someone on the team is comfortable with SQL, and you either want to self-host or need embedded charts in your product.
Pick clariBI if most of your numbers live in apps like Stripe, HubSpot and the ad platforms, the people who need answers are not analysts, and you would rather not run BI infrastructure.
Some teams use both: Metabase on the product database for the engineers, clariBI for revenue, marketing and the weekly business review. If your database choice is still open, our post on Snowflake, BigQuery and Postgres may help.
Try it on your own data
Run the comparison on real data rather than a demo. Start a clariBI trial, connect the one app that holds your most-asked-about number, and ask the question you usually answer with a spreadsheet. If your data is in PostgreSQL, the PostgreSQL walkthrough shows how to connect with a read-only user.