Writer
István Mészáros
Co-founder & CEO
Co-founder and CEO of Mitzu. Passionate about product analytics and helping companies make data-driven decisions.
Articles
November 2, 2023 · 5 min read
Identifying Users In The Data Warehouse
Discover how to use the connected components algorithm to unify user aliases in a single table, enabling seamless tracking and analysis across all datasets.
February 16, 2023 · 5 min read
I Asked 3 Data Analysts The Same Question. The Answers Made Me Start My Startup
Discover how Mitzu overcomes the limitations of SQL-based product analytics in data warehouses, providing insights without relying solely on data analysts.
September 14, 2023 · 14 min read
Transforming Product Analytics with Mitzu and Databricks
Learn how Mitzu and Databricks work together to bring warehouse-native product analytics to your lakehouse — no data exports, no ETL, full SQL transparency.
January 25, 2026 · 4 min read
What is Conversion Funnel Analysis? Learn How to Do It Step by Step
Understand what conversion funnel analysis is and learn how to calculate it to track user behavior, identify drop-offs, and improve your sales or product funnel.
March 6, 2025 · 5 min read
Using Mitzu With Trino For Product Analytics
Explore how to use Mitzu.io with Trino and PrestoSQL for fast, scalable product analytics and empower your team with easy, SQL-free data access.
January 16, 2025 · 10 min read
Modeling Events In The Data Warehouse
Discover how to effectively model events in your data warehouse with three approaches: single table, wide table, and narrow table, and choose the best model.
January 5, 2026 · 8 min read
Khatabook Replaces Mixpanel with Mitzu for Large Datasets Product Analytics
Learn how Khatabook, India's leading digital ledger app with over 100 million downloads, replaced Mixpanel with Mitzu to handle their massive scale product analytics directly from their data warehouse.
April 3, 2025 · 8 min read
Funnels with SQL: The good, the bad and the ugly way
Understand how to build an efficient data funnel with SQL over event datasets. Learn why 'ugly' funnel queries can yield optimal results in data warehouses.
May 14, 2026 · 10 min read
Steep vs Mitzu: Agentic Metrics on the Semantic Layer vs Agentic Product Analytics on the Warehouse
Steep is an AI analytics platform that ships governed metrics from dbt MetricFlow or Cube. Mitzu is agentic product analytics with an auto-built semantic layer and a deterministic query engine. Compare architecture, methodology, SQL examples, and when to choose which.
May 14, 2026 · 9 min read
ClickHouse AI vs Mitzu: Agentic SQL on the Warehouse vs Agentic Product Analytics on the Warehouse
ClickHouse AI brings agentic SQL to the warehouse; Mitzu adds an agentic product analytics layer with a deterministic query engine on top. Compare architecture, methodology, and SQL examples.
April 26, 2025 · 5 min read
Using GA4 with BigQuery for Product Analytics
Leverage GA4 and BigQuery with Mitzu.io to gain deeper insights into user behavior and revenue impact with a streamlined, semantic-layer grounded solution.
September 9, 2025 · 3 min read
DAU, WAU, MAU Metrics: Tracking Active Users Effectively
Understand DAU, WAU, and MAU metrics to track user engagement. Learn their importance, differences, and how product analytics tools drive business growth.
May 14, 2026 · 10 min read
Snowflake Cortex vs Mitzu: Agentic SQL on Snowflake vs Agentic Product Analytics on the Warehouse
Snowflake Cortex Agents and Cortex Analyst bring agentic SQL to Snowflake; Mitzu adds an agentic product analytics layer with a deterministic query engine on top. Compare architecture, methodology, SQL examples, and UI surfaces.
May 14, 2026 · 10 min read
PostHog Agentic Analytics vs Mitzu: Vendor-Silo Agent vs Warehouse-Native Agentic Product Analytics
PostHog's Max AI is a chat agent on PostHog's event store; Mitzu is agentic product analytics on your data warehouse with a deterministic SQL engine. Compare architecture, methodology, SQL, and when to use each — or both.
January 11, 2026 · 4 min read
How Munch Centralized Data on BigQuery and Cut Costs by 50% with Mitzu
Learn how Munch centralized their data on BigQuery, eliminated silos, and reduced analytics costs by 50% by switching from Mixpanel to Mitzu.
July 24, 2025 · 8 min read
RudderStack & Mitzu: Revolutionizing Warehouse Data Insight
You can set up RudderStack with Mitzu.io and BigQuery in under 10 minutes and gain deep insights into event tracking and revenue linkage.
November 21, 2025 · 5 min read
The First Data Expert in a Startup
The first data expert in startups is a strategic partner who connects raw data to business outcomes, building data warehouses, models, and actionable insights.
May 14, 2026 · 10 min read
Cube D3 vs Mitzu: Agentic BI on a Universal Semantic Layer vs Agentic Product Analytics on the Warehouse
Cube D3 brings AI agents to a universal, hand-authored semantic layer for BI, embedded analytics and chat. Mitzu specialises in agentic product analytics with an auto-built semantic layer and a deterministic SQL engine. Compare architecture, methodology, and SQL examples.
January 6, 2026 · 6 min read
How Suunto Centralized Data From Millions of MAU with Mitzu and Databricks
Suunto runs all analytics on Databricks with Mitzu, cutting costs by 80% and unifying data from 5+ sources into one flexible, self-service platform.
May 14, 2026 · 10 min read
Mixpanel Agentic Analytics vs Mitzu: Agentic Product Analytics in the Vendor Silo vs on the Warehouse
Mixpanel AI brings the Mixpanel Agent, Spark, and a Context Engine to product analytics inside the Mixpanel silo. Mitzu runs agentic product analytics directly on your data warehouse with a deterministic query engine. Compare architecture, methodology, SQL, and pricing.
October 19, 2023 · 5 min read
How Startups Can Choose the Right Data Platform
Discover the key considerations for building a startup data platform that supports scalable analytics and fast, actionable insights.
November 22, 2023 · 8 min read
User ID Stitching in Databricks
Learn how to perform ID stitching in Databricks to unify fragmented user data, including Databricks account ID, and create a cohesive view of customer behavior.
May 14, 2026 · 10 min read
BigQuery AI vs Mitzu: Agentic SQL on Google's Warehouse vs Agentic Product Analytics on the Warehouse
BigQuery AI brings Gemini-powered Conversational Analytics, Data Agents, and BigQuery Graph to the warehouse. Mitzu adds an agentic product analytics layer with a deterministic query engine on top — and runs on BigQuery natively. Compare architecture, methodology, SQL examples, and where to use each.
May 14, 2026 · 10 min read
Amplitude AI Agents vs Mitzu: Vendor-Silo Agentic Analytics vs Warehouse-Native Agentic Product Analytics
Amplitude's Global Agent and specialized agents run on Amplitude's own behavioural data store. Mitzu's Analytics Agent runs on your warehouse. Compare architecture, methodology, SQL examples, surfaces and pricing.
May 14, 2026 · 9 min read
Julius.ai vs Mitzu: Agentic Spreadsheet & SQL Analytics vs Agentic Product Analytics
Julius.ai is a chat-and-notebook AI data analyst that runs Python, R or SQL against files and databases. Mitzu is an agentic product analytics platform with a deterministic query engine and an auto-built semantic layer. Compare architecture, methodology, SQL examples and when to use each.
May 14, 2026 · 10 min read
Databricks Genie vs Mitzu: Agentic Lakehouse Analytics vs Agentic Product Analytics
Databricks AI/BI Genie brings agentic natural-language analytics to the lakehouse; Mitzu adds an agentic product analytics layer with a deterministic query engine. Compare architecture, methodology, and SQL examples.
March 11, 2026 · 5 min read
How Rythm.fm uses Mitzu for Product Analytics
This case study explores how Rythm uses Clickhouse, Kinesis with Firehose, and Mitzu for product and marketing analytics.
February 7, 2026 · 4 min read
What Warehouse-Native Analytics Is and Why Is It Important?
Learn how trusted agentic analytics streamlines data analysis, cuts costs, and improves performance. Mitzu.io simplifies it without complex coding skills.
May 20, 2026 · 16 min read
Product Analytics with Snowflake and Mitzu
Run funnel, retention, and segmentation analyses directly on your Snowflake event data with Mitzu — no data export, no ETL, full SQL transparency.
May 14, 2026 · 10 min read
Omni vs Mitzu: Agentic Analytics vs Agentic Product Analytics on the Warehouse
Omni is an AI analytics platform with a LookML-style semantic layer. Mitzu is an agentic product analytics platform with an auto-built, event-centric semantic layer and a deterministic SQL engine. Compare architecture, SQL output, and when to pick which.
July 18, 2025 · 5 min read
Modeling A/B Tests in the Data Warehouse
Learn how to track experiment allocation data using arrays or nested JSON in Databricks and access it through Mitzu.io for efficient A/B test analysis.
May 14, 2025 · 14 min read
Product Analytics with BigQuery and Mitzu
Run funnel, retention, and segmentation analyses directly on your BigQuery event data with Mitzu — no data export, no ETL, full SQL transparency.