Audience
Product manager, Data analyst
About Mitzu
Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.io
Other Popular Alternatives & Related Software
Tabular
Tabular is an open table store from the creators of Apache Iceberg. Connect multiple computing engines and frameworks. Decrease query time and storage costs by up to 50%. Centralize enforcement of data access (RBAC) policies. Connect any query engine or framework, including Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python. Smart compaction, clustering, and other automated data services reduce storage costs and query times by up to 50%. Unify data access at the database or table. RBAC controls are simple to manage, consistently enforced, and easy to audit. Centralize your security down to the table. Tabular is easy to use plus it features high-powered ingestion, performance, and RBAC under the hood. Tabular gives you the flexibility to work with multiple “best of breed” compute engines based on their strengths. Assign privileges at the data warehouse database, table, or column level.
Learn more
Compass
Compass is an AI-powered, Slack-native data assistant that turns plain English questions into instant answers, summaries, charts, and insights powered by your actual warehouse data, so teams can make data-driven decisions without waiting on BI backlogs or building dashboards first. It connects directly to major data warehouses (Snowflake, BigQuery, Redshift, Postgres, AWS Athena, Databricks, and more), learns your schema and context, and generates governed, SQL-backed responses and visualizations in the tools your team already uses, all while keeping your data where it lives and under your control. Compass builds organizational context over time so answers become more accurate and relevant, supports collaboration through Slack threads, can schedule recurring analysis, and provides a shared repository of definitions and insights that help reduce analytical silos and reliance on specialized SQL users.
Learn more
Kubit
Your data, your insights—no third-party ownership or black-box analytics.
Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in.
Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed.
With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise.
Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai.
Learn more
nao
nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.
Learn more
Pricing
Starting Price:
$35 per month
Pricing Details:
Editor-based
Free Trial:
Free Trial available.
Integrations
Company Information
Mitzu.io
Founded: 2022
United States
mitzu.io
Videos and Screen Captures
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Product Details
Platforms Supported
Cloud
Windows
Mac
Linux
Training
Documentation
Live Online
Webinars
Videos
Support
Phone Support
24/7 Live Support
Online
Mitzu Frequently Asked Questions
Mitzu Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Journey Analytics
Data Export
Data Labeling
Real-Time Data Analysis
User Segmentation
Customer Feedback Collection
Customer Guidance
Data History Retention
Product Engagement Scoring
Touchpoint Analytics
Mitzu Verified User Reviews
Write a Review-
Probability You Would Recommend?1 2 3 4 5 6 7 8 9 10
"Finally a great warehouse-native tool" Posted 2025-01-08
Pros: I loved that it directly works with BigQuery, and I don't have to use the reverse ETL tool. Also, as it is self-service my non-technical colleagues can use it. Cant wait for the new features!
Cons: The UX can be improved slightly, but it's still user-friendly.
Overall: Great features and a great tool for SaaS and e-commerce companies. Loves the cohort retention feature for my work as I am an data analyst.
Read More...
- Previous
- You're on page 1
- Next
