Metabase vs Mixpanel

Metabase

Open-source business intelligence anyone can use

Metabase is an open-source business intelligence tool that lets non-technical people query a company database through a point-and-click question builder, while analysts drop into SQL in the same interface. The problem it solves is the analyst bottleneck. In most companies every number request routes through one or two people who can write SQL, which makes simple questions slow and discourages people from asking them at all. Metabase's answer is a visual query builder good enough that a marketer can answer their own question, backed by dashboards, alerts, and permissions that keep the underlying data safe. Pricing splits into two products. Business intelligence: Starter is $100 per month ($90 per month billed annually, $1,080 per year) with the first 10 users included and $6 per additional user per month ($65 per year), covering 20+ data sources, unlimited questions and dashboards, AI-assisted SQL generation, and 3-day email support. Pro is $575 per month ($517.50 per month billed annually, $6,210 per year) with the first 10 users included and $12 per additional user per month, adding row and column level permissions, SSO, caching controls, usage analytics and auditing, multi-tenant embedded analytics, and white-labelling. Enterprise starts at $20,000 per year with free unlimited users, custom pricing, an air-gapped deployment option, and a 1-day support SLA. Two billing details are easy to miss and change the maths: users of your embedded analytics count as users, not just your internal team; and AI features are billed separately at $3.75 per 1 million tokens if you use Metabase's own AI service rather than bringing your own provider key, with 1 million tokens included. Transforms include 1,000 runs on Starter and Pro, then $0.01 per run. The open-source edition remains free and self-hostable, and for a lot of small teams that is the whole answer - the paid tiers buy permissions, SSO, embedding, and support rather than core functionality. Who it is for: companies of 10 to a few hundred people who have a real database, want everyone to self-serve answers, and do not want to staff a BI team to make that happen. How it compares: Looker is far more powerful and far more expensive, and requires modelling everything in LookML before anyone gets an answer. Tableau and Power BI are stronger for deep visual analysis and weaker for casual self-serve querying. Superset is the closest open-source peer and is more capable but much harder to operate. Retool and Hex serve adjacent needs - internal tools and analyst notebooks - rather than the same one. Choose Metabase when the goal is that non-analysts stop filing requests.

Mixpanel

Event analytics that answers how people use your product

Mixpanel is an event-based product analytics platform: it records what users do inside a product as discrete events, then answers questions about funnels, retention, cohorts, and user flows on top of that event stream. The distinction that matters is event analytics versus page analytics. A tool like Google Analytics is built around pageviews and sessions, which answers marketing questions well and product questions badly. Mixpanel is built around a user doing a thing - signed_up, created_project, invited_teammate - so a product team can ask where in a five-step onboarding people drop out, whether the users who invite a teammate in week one retain better, and which cohort a feature actually moved. Pricing as of 2026: the Free plan is free forever with up to 1 million events per month, 10,000 session replays per month, and core funnel and retention analysis, with no credit card required. The Growth plan starts at $0 and scales with volume, covering up to 20 million events and 500,000 session replays per month, and adds behavioural cohorts, unlimited saved metrics, and multi-touch attribution. Enterprise is quote-based, scales to 1 trillion events per month, and adds anomaly detection, feature flags, experimentation, and security controls. Mixpanel reports more than 29,000 companies on the platform. The 1 million free events per month is the number that decides most early-stage evaluations. It is genuinely enough to run a pre-product-market-fit startup on indefinitely, which is why Mixpanel is common in seed-stage stacks. Who it is for: product managers and growth teams who need to answer behavioural questions rather than traffic questions, at companies past the point where reading the database directly is fast enough. The main implementation caveat is that event analytics is only as good as the tracking plan. Mixpanel gives you nothing useful until someone decides what the events are and instruments them consistently, and a sloppy taxonomy is expensive to fix later. Budget the design work, not just the tool. How it compares: Amplitude is the closest peer and the usual head-to-head, generally stronger on advanced behavioural analysis and enterprise governance. PostHog bundles analytics with session replay, feature flags, and experimentation in one open-source platform and is the more popular choice among engineering-led teams. Heap auto-captures every interaction, which removes the tracking-plan burden but produces noisier data. Google Analytics 4 is free and unavoidable for marketing attribution but is not a product analytics tool. Pick Mixpanel when the questions are about behaviour inside the product and someone owns the tracking plan.