Mitzu & Metabase

Combine Mitzu’s warehouse-native analytics and advanced user behavior insights with Metabase’s open-source platform and high-level sales analytics for a versatile, end-to-end BI solution.

Mitzu.io and Metabase

Top 3 main challenges with traditional BI companies

Limited Data Access and Centralized Control

Traditional BI depends on centralized data access managed by only data teams, which causes bottlenecks and delays as other teams rely on them for data interpretation. This limits decision-making speed and business agility.

Steep Learning Curve and Technical Skill Requirements

These tools are complex and require technical skills, restricting access to data analysts and excluding teams like product, marketing, and sales, preventing full data utilization and suppressing a data-driven culture

Longer Time to Insights

It is slow to generate insights, as retrieving data, creating reports, and obtaining approvals can be time-consuming, leading to decisions based on outdated information.

Self-service BI democratizes data analytics by giving direct access to non-technical users!

Say goodbye to traditional BI tools with Mitzu’s warehouse-native self-service BI solution.

Enables direct data access for non-technical team members

Quick access and data analysis, accelerating decision-making processes

Lower initial costs

Why is self-service BI a better option for companies?

Help Sales, Product, and Marketing Teams with Data Access

Self-service BI enables non-technical team members to explore and analyze data directly, reducing reliance on the data team, which helps accelerate decision-making processes.

Faster Insights

It helps to access and analyze data, accelerating decision-making processes by performing on-the-fly data exploration and creating custom reports to address immediate business questions.

Flexibility and Scalability

It is easier to deploy across various platforms and devices, so business users can quickly adjust their analyses as business requirements evolve.

Mitzu.io & Metabase

How can they complement each other in your tech stack?

Warehouse Integration
Warehouse-native, no data duplication needed
Requires additional ETL tools for warehouse connection
No-code Interface
Easy-to-use interface with no coding required
Requires technical expertise for advanced features
Automatic SQL Query Generation
Automatically generates SQL queries)
Provides SQL editor for manual queries
Advanced Analytics (User Journey, Funnels)
In-depth analytics for user behavior
Lacks advanced analytics for user behavior
Revenue Analytics (MRR Tracking)
Tracks monthly recurring revenue
Does not offer specialized revenue analytics
Sales Analytics
Not focused on sales analysis
Includes sales analytics for better performance tracking
High-Level Analytics
Product-focused analytics
Provides high-level business performance analytics
Open-source Availability
Proprietary platform
Open-source version available
Data Source Support
Integrates seamlessly with data warehouses
Supports a wide variety of data sources
Automated Reporting
Manual report creation
Automated report scheduling and distribution
Pricing Structure
Seat-based pricing for flexibility and scalability
Three different pricing options for its users with available versions for cloud-hosted or self-hosted

How to get started?

Collect data

Ingest your first and third party data to your data warehouse. If you don't yet have a data warehouse we can help you get started.

Setup Mitzu

Connect Mitzu to your data warehouse just as any other BI tool. List your facts and dimensions tables.
Create an events and properties catalog.

Start making better decisions faster

Start learning valuable insights with a few clicks only. No need to know SQL. Collaborate with your team on key business questions.

Unbeatable solution for all of your analytics needs

Get started with Mitzu for free and power your teams with data