Mitzu
Warehouse-native product analytics with an agent you ask in plain language; a deterministic spec-to-SQL engine limits hallucinated numbers. 14-day trial, then $35/user; unlimited events. No permanent free tier.
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Our take
Mitzu is product analytics that runs on your own data warehouse, with an agent you ask behavioural questions in plain language. Instead of guessing SQL from a prompt, it builds an analysis spec - funnels, retention, cohorts - and a deterministic engine turns that into queries, which curbs hallucinated numbers. 14-day trial, then $35 per user; no permanent free tier.
Best for
Data and product teams that already have a warehouse and want trustworthy, no-SQL product analytics on top of it.
Pros
- Runs on your warehouse - data stays put
- Deterministic query engine limits hallucinated answers
- Plain-language funnels, retention and cohorts
- Predictable per-seat pricing, unlimited events
Cons
- No permanently free plan, just a 14-day trial
- Needs a data warehouse to be useful
- Some agent claims are vendor-reported
How it compares
Against catalog analysts like Wren AI or Vanna AI, Mitzu specialises in product-analytics methodology rather than general text-to-SQL.
Full review
The risk with an AI analyst is that it confidently writes the wrong SQL and you ship a decision on a hallucinated number. Mitzu's design choice is to not let the model write SQL directly. You ask a behavioural question in plain language; it assembles an analysis spec - funnel steps, retention windows, cohort rules - and a deterministic engine compiles that into queries using real product-analytics methodology. It all runs on your own warehouse, so the data never leaves.
Pricing is seat-based and predictable at $35 per user (with unlimited events), friendlier than usage-metered rivals, though there's only a 14-day trial rather than a free tier. You also need a warehouse for it to matter. For teams that have outgrown Mixpanel-style silos, it's a credible, less hand-wavy take on agentic analytics.
Cloudkart Trust Graph
3.7/5- Actual Utility3.8/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Ease of Use3.7/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Pricing Fairness3.8/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Reliability3.2/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
- Differentiation3.9/5
Source: LLM scoring pass — composite-only catalog tools (2026-06)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 3.7/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Mitzu free, and how much does it cost?
- Mitzu is a paid tool.
- Who is Mitzu best for?
- Data and product teams that already have a warehouse and want trustworthy, no-SQL product analytics on top of it.
- How is Mitzu rated on Cloudkart.ai?
- Mitzu scores 3.7 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Mitzu works for you.
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