
Mitzu
Mitzu is an agentic product analytics platform that queries event data in a customer’s data warehouse.
What Mitzu is
Mitzu is an agentic product analytics platform that queries event data in a customer’s data warehouse. Through its web app or Slack, users can ask plain-language questions about funnels, retention, cohorts, segmentation, user journeys, and B2B accounts. A Configuration Agent scans warehouse tables and builds a semantic layer that analysts can review and adjust. Mitzu’s deterministic query engine turns analysis specifications into SQL, and users can inspect the SQL behind queries. Supported warehouses include Snowflake, BigQuery, Databricks, Redshift, ClickHouse, and AWS Athena. It recognizes Segment, Snowplow, Firebase, GA4, RudderStack, and custom event schemas. Its zero-copy design queries warehouse data without replicating raw events. Monitoring can surface metric shifts, retention anomalies, and activation drops, with email or Slack alerts. Enterprise deployment includes private VPC or self-hosted options.
Good
- Plain-language funnel, retention, and cohort questions
- Supports major warehouses and event schemas
- Inspect generated SQL behind analyses
- Zero-copy warehouse querying
- Email and Slack anomaly alerts
Watch out
- Requires event data in a warehouse
- No free plan
- Annual Analyst plan limits editors and insights
- Enterprise pricing is custom
Who it suits
Mitzu suits teams whose event data already lands in a supported warehouse and who want conversational product analytics. It may not fit organizations whose events remain in a tool that cannot export them.
Verdict
Mitzu combines conversational analysis with inspectable SQL and warehouse-based querying. Check the warehouse requirement and plan limits before choosing it.
Plans and prices
From Mitzu's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Analyst (yearly) | $134 a month | 3 Editor seats · 300 AI insights/month · 1 workspace · unlimited events · $134 a month billed yearly |
| Analyst | $149 a month | 3 Editor seats · 300 AI insights/month · 1 workspace · unlimited events · $149 / month |
| Team (yearly) | $675 a month | 10 Editor seats · 2,000 AI insights/month · 10 workspaces · unlimited viewers · unlimited events · $675 a month billed yearly |
| Team | $749 a month | 10 Editor seats · 2,000 AI insights/month · 10 workspaces · unlimited viewers · unlimited events · $749 / month |
| Enterprise | Priced on request | Custom AI insights · unlimited editors, viewers, and workspaces · API access · private VPC or self-hosted · Enterprise SSO · Custom; talk to sales |
The facts
Each one read from Mitzu's own pages, with the date it was checked.
What it does
- AI privacy
- The security page says only query context is sent to AI, customer data is not used to train or fine-tune LLMs, and metadata logs can be deleted upon request.checked 9 Oct 2026
- Analytics
- The platform supports funnels, retention analysis, segmentation, cohorts, user journeys, and B2B account analytics.checked 9 Oct 2026
- CDP and event schemas
- Mitzu says it recognizes Segment, Snowplow, Firebase, GA4, RudderStack, and custom event schemas in warehouse data.checked 9 Oct 2026
- Data handling
- Mitzu describes its architecture as zero-copy: queries run against warehouse data without copying or replicating raw event data.checked 9 Oct 2026
- Deployment
- Enterprise customers can use private VPC or self-hosted deployment, including within their own VPC or on-premise environment.checked 9 Oct 2026
- Limits and intended fit
- Mitzu says it requires event data to be landing in a warehouse, and that it may not fit organizations whose events are locked in a tool that will not export them.checked 9 Oct 2026
- Monitoring
- Mitzu says it monitors warehouse metrics and surfaces metric shifts, retention anomalies, and activation drops, with alerts via email or Slack.checked 9 Oct 2026
- Natural language
- Users can ask funnel, retention, and cohort questions in plain language through the app or Slack.checked 9 Oct 2026
- Product
- Mitzu is an agentic product analytics platform that queries event data in a customer’s data warehouse.checked 9 Oct 2026
- Semantic layer
- A Configuration Agent scans warehouse tables and builds a semantic layer that analysts can review and adjust.checked 9 Oct 2026
- SQL visibility
- Mitzu says its deterministic query engine generates SQL from analysis specifications, and users can inspect the SQL behind queries.checked 9 Oct 2026
- Support
- Analyst includes email support, Team includes priority email support, and Enterprise lists dedicated Slack support, SLA services, onboarding, and training.checked 9 Oct 2026
- Warehouse integrations
- Mitzu names Snowflake, BigQuery, Databricks, Redshift, and ClickHouse as supported warehouses; its security page also lists AWS Athena.checked 9 Oct 2026
The company
- Company
- The site identifies the company as Mitzu, Inc. and lists István Mészáros as co-founder and CEO.checked 9 Oct 2026
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