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Mitzu

Name: Mitzu
Price: 134 USD

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What Mitzu is

Mitzu is a product analytics platform that queries event data stored in a customer’s data warehouse. Users can ask funnel, retention, and cohort questions in plain language through the app or Slack; its analysis also covers segmentation, user journeys, and B2B accounts. A Configuration Agent scans warehouse tables to build a semantic layer analysts can review and adjust. Mitzu says its deterministic query engine generates SQL from analysis specifications, with the underlying SQL available for inspection. Its zero-copy architecture queries warehouse data without copying or replicating raw event data. Supported warehouses include Snowflake, BigQuery, Databricks, Redshift, ClickHouse, and AWS Athena; recognized event schemas include Segment, Snowplow, Firebase, GA4, RudderStack, and custom formats. Monitoring can surface metric shifts, retention anomalies, and activation drops, with email or Slack alerts. Enterprise deployments can use a private VPC or self-hosted environment, including on-premise. Mitzu requires event data to land in a warehouse, so it may not suit organizations whose events cannot be exported from their existing tool. Analyst starts at $134 a month billed yearly; a 14-day trial is available, but there is no free plan.

Who it suits

Mitzu suits teams with event data in a supported warehouse who want product analytics through plain-language questions and inspectable SQL. It may not fit organizations unable to export events from their current tool into a warehouse.

What it does well

Supports funnels, retention, cohorts, and segmentation.
Queries run against warehouse data without copying it.
Users can inspect generated SQL.
Email or Slack alerts for monitored changes.
Enterprise self-hosted and private VPC deployment options.

What to know first

Requires event data to land in a warehouse.
No free plan.
Analyst starts at $134 a month billed yearly.

Limits

The Analyst plan provides three Editor seats, one workspace, and 300 AI insights per month. Team raises those allowances, while Enterprise uses custom AI insights and custom pricing.

Plans

Plan	Billed and limits	Price
Analyst (yearly)	$134 a month billed yearly · 3 Editor seats · 300 AI insights/month · 1 workspace · unlimited events	$134 a month
Analyst	$149 / month · 3 Editor seats · 300 AI insights/month · 1 workspace · unlimited events	$149 a month
Team (yearly)	$675 a month billed yearly · 10 Editor seats · 2,000 AI insights/month · 10 workspaces · unlimited viewers · unlimited events	$675 a month
Team	$749 / month · 10 Editor seats · 2,000 AI insights/month · 10 workspaces · unlimited viewers · unlimited events	$749 a month
Enterprise	Custom; talk to sales · Custom AI insights · unlimited editors, viewers, and workspaces · API access · private VPC or self-hosted · Enterprise SSO	On request

As mitzu.io lists them, read 9 Oct 2026. The maker's own page has the final word.

Getting started

Open the Mitzu website
Connect a supported data warehouse
Let the Configuration Agent scan warehouse tables
Review and adjust the generated semantic layer
Choose an Analyst, Team, or Enterprise plan
Use the web app or Slack to ask analytics questions

Verdict

Mitzu offers warehouse-based product analytics with plain-language questions, inspectable SQL, and monitoring alerts. Its warehouse requirement is central to fit, and paid plans start at $134 a month billed yearly.

Questions

How much does Mitzu cost?

Analyst costs $149 a month, or $134 a month billed yearly. Team costs $749.00 monthly, or $675.00 monthly billed yearly; Enterprise pricing is custom.

Is there a free plan or trial?

There is no free plan. A 14-day trial is offered.

Which warehouses does Mitzu support?

Named integrations include Snowflake, BigQuery, Databricks, Redshift, ClickHouse, and AWS Athena.

Can I inspect generated SQL?

Yes. Mitzu says its query engine generates SQL from analysis specifications and lets users inspect the SQL behind queries.

How can Enterprise customers deploy Mitzu?

Enterprise customers can use private VPC or self-hosted deployment, including their own VPC or an on-premise environment.

Facts from Mitzu's own pages

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. · mitzu.io, 9 Oct 2026
Analytics: The platform supports funnels, retention analysis, segmentation, cohorts, user journeys, and B2B account analytics. · mitzu.io, 9 Oct 2026
CDP and event schemas: Mitzu says it recognizes Segment, Snowplow, Firebase, GA4, RudderStack, and custom event schemas in warehouse data. · mitzu.io, 9 Oct 2026
Company: The site identifies the company as Mitzu, Inc. and lists István Mészáros as co-founder and CEO. · mitzu.io, 9 Oct 2026
Data handling: Mitzu describes its architecture as zero-copy: queries run against warehouse data without copying or replicating raw event data. · mitzu.io, 9 Oct 2026
Deployment: Enterprise customers can use private VPC or self-hosted deployment, including within their own VPC or on-premise environment. · mitzu.io, 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. · mitzu.io, 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. · mitzu.io, 9 Oct 2026
Natural language: Users can ask funnel, retention, and cohort questions in plain language through the app or Slack. · mitzu.io, 9 Oct 2026
Product: Mitzu is an agentic product analytics platform that queries event data in a customer’s data warehouse. · mitzu.io, 9 Oct 2026
Semantic layer: A Configuration Agent scans warehouse tables and builds a semantic layer that analysts can review and adjust. · mitzu.io, 9 Oct 2026
SQL visibility: Mitzu says its deterministic query engine generates SQL from analysis specifications, and users can inspect the SQL behind queries. · mitzu.io, 9 Oct 2026
Support: Analyst includes email support, Team includes priority email support, and Enterprise lists dedicated Slack support, SLA services, onboarding, and training. · mitzu.io, 9 Oct 2026
Warehouse integrations: Mitzu names Snowflake, BigQuery, Databricks, Redshift, and ClickHouse as supported warehouses; its security page also lists AWS Athena. · mitzu.io, 9 Oct 2026