How Drizzle Cube Compares

Picking an embedded analytics solution feels a bit like choosing a coffee order. There are many options, each with trade-offs, and what works for your neighbor might not suit you.

This page offers a factual comparison with popular alternatives. No shade thrown, just honest differences to help you decide.

At a Glance

Platform	Type	Embedding	Semantic Layer	Open Source	Best For
Drizzle Cube	Library	Native React	TypeScript + Drizzle ORM	Yes	Developers who love type safety
Metabase	BI Platform	iFrame/SDK	Limited	Yes (OSS)	Teams wanting visual query builder
Redash	SQL Tool	iFrame	None	Yes	SQL-savvy analysts
Apache Superset	BI Platform	iFrame	SQL transforms	Yes	SQL power users, many viz types
Embeddable	Dev Toolkit	React components	Cube.js	No	Commercial no-code embedding
Luzmo	SaaS Platform	SDK/iFrame	Built-in	No	Enterprise SaaS dashboards
Cube.dev	Semantic Layer	API/Playground	YAML/JS	Core (OSS)	Large-scale enterprise analytics
Mitzu	Product Analytics	Dashboard	None	No	Warehouse-native funnel analysis
Recharts DIY	Chart Library	Native React	None	Yes	Full custom control

vs Metabase

Metabase is an open-source BI platform used by over 90,000 companies. It offers a visual query builder and can be deployed via JAR file, Docker, or their cloud service.

Key Differences:

Aspect	Drizzle Cube	Metabase
Data Modeling	TypeScript cubes	Visual models or raw SQL
Embedding	Native React	iFrame or SDK
Deployment	Part of your app	Separate service
Query Building	Programmatic + UI	Visual drag-drop
Runtime	Node.js	Java (JVM)

Choose Metabase if:

Your team prefers visual query building over code
You want a standalone BI tool with user management built-in
Non-technical users need to create their own reports

Choose Drizzle Cube if:

You want analytics as a native part of your React app
Type-safe data modeling matters to your team
You prefer not running a separate Java service

vs Redash

Redash is an open-source tool for connecting to data sources, writing SQL queries, and creating visualizations. It focuses on SQL-first analytics.

Key Differences:

Aspect	Drizzle Cube	Redash
Query Language	Semantic layer (JSON)	Raw SQL
Security Model	Built-in multi-tenant	User/group permissions
Embedding	Native React	iFrame
Target Users	Developers embedding analytics	Analysts writing SQL
Visualization	Recharts-based	Built-in library

Choose Redash if:

Your team writes SQL and wants direct database access
You need a standalone analytics tool with scheduled queries
Dashboard consumers just need to view pre-built reports

Choose Drizzle Cube if:

You want to embed analytics in your product for customers
SQL injection protection and type safety are priorities
Your users should query business concepts, not tables

vs Apache Superset

Apache Superset is an open-source data exploration and visualization platform under the Apache Foundation. It offers 40+ visualization types and a powerful SQL Lab for custom queries.

Key Differences:

Aspect	Drizzle Cube	Apache Superset
Data Modeling	TypeScript cubes	SQL transforms, datasets
Embedding	Native React	iFrame
Deployment	Part of your app	Separate Python service
Visualizations	Recharts-based	40+ built-in types
Target Users	Developers	Analysts, data teams

Choose Superset if:

You want a standalone BI tool with extensive visualization options
Your team includes SQL power users who want SQL Lab
You need a mature, Apache-backed project

Choose Drizzle Cube if:

You want analytics embedded in your product, not a separate tool
TypeScript-first development is your preference
Simpler deployment without Python/Flask infrastructure

vs Embeddable.com

Embeddable is a developer toolkit for building customer-facing analytics. It provides React components (not iframes) and a drag-and-drop dashboard builder, powered by Cube.js on the backend.

Key Differences:

Aspect	Drizzle Cube	Embeddable
Pricing	Open source	Commercial
Backend	Drizzle ORM	Cube.js
Components	Chart library	Pre-built dashboards
Dashboard Builder	Analysis Builder	Drag-drop no-code
Data Modeling	TypeScript	Cube.js YAML/JS

Choose Embeddable if:

You want a fully managed commercial solution
No-code dashboard building is essential for your team
Your team prefers Cube.js data modeling

Choose Drizzle Cube if:

Open source and self-hosting matter to you
You already use Drizzle ORM for your app
TypeScript-first development is your preference

vs Luzmo

Luzmo (formerly Cumul.io) is an embedded analytics platform for SaaS companies. It offers a low-code dashboard builder and Flex SDK for custom implementations.

Key Differences:

Aspect	Drizzle Cube	Luzmo
Pricing	Open source	Commercial SaaS
Hosting	Self-hosted	Cloud platform
Customization	Full code control	Low-code + SDK
Data Sources	Your database via Drizzle	Multiple connectors
White-labeling	Built-in theming	Enterprise feature

Choose Luzmo if:

You want a managed platform with minimal ops overhead
Low-code dashboard creation suits your workflow
Enterprise support and SLAs are requirements

Choose Drizzle Cube if:

You want to own your analytics infrastructure
Cost control through open source is important
Deep integration with your existing Drizzle schema is valuable

vs Cube.dev

Cube is an agentic analytics platform with a universal semantic layer. It uses YAML or JavaScript for data modeling and targets enterprise-scale deployments with built-in caching via Cube Store.

Key Differences:

Aspect	Drizzle Cube	Cube.dev
Data Modeling	TypeScript + Drizzle ORM	YAML or JavaScript
Infrastructure	Runs in your app	Separate Cube Store service
Scale	Small to medium	Enterprise-scale
Pre-aggregations	Materialized views (manual)	Built-in Cube Store
API Compatibility	Cube.js API compatible	Native

Choose Cube.dev if:

You need enterprise-scale caching and pre-aggregations
YAML-based data modeling fits your workflow
Running a dedicated Cube Store is acceptable

Choose Drizzle Cube if:

You want analytics without additional infrastructure
TypeScript and Drizzle ORM are already in your stack
You can migrate to Cube.dev later when scale demands it

Note: Drizzle Cube maintains API compatibility with Cube.js, making migration straightforward when you outgrow it.

vs Mitzu.io

Mitzu is warehouse-native product analytics that runs directly on your data warehouse. It specializes in funnel, retention, and cohort analysis without moving data.

Key Differences:

Aspect	Drizzle Cube	Mitzu
Architecture	Direct database queries	Warehouse-native
Focus	General analytics embedding	Product analytics
Analysis Types	Flexible cubes	Funnels, retention, cohorts
Data Movement	None (same database)	None (warehouse)
Target Users	Developers	Product and growth teams

Choose Mitzu if:

Product analytics (funnels, retention) is your primary use case
You already have a data warehouse setup
Self-service for non-technical teams is the goal

Choose Drizzle Cube if:

You need embeddable analytics in your product
Your data lives in an operational database
General-purpose analytics beyond product metrics

vs Building Your Own with Recharts

Recharts is a popular React charting library built on D3. You could build analytics yourself by writing SQL queries and rendering charts directly.

Key Differences:

Aspect	Drizzle Cube	DIY with Recharts
Data Layer	Semantic layer included	Build your own
SQL Generation	Automatic, type-safe	Manual queries
Multi-tenancy	Built-in security context	Implement yourself
Time Handling	Granularity, period comparisons	Custom logic
Maintenance	Library updates	Everything is on you

Build your own if:

You need only a handful of static charts
Full control over every SQL query matters
You enjoy building data infrastructure from scratch

Choose Drizzle Cube if:

You want to move fast with pre-built components
Security and type safety should be automatic
Business users might need self-service analytics later

Quick Decision Guide

Just starting out? Begin with Drizzle Cube. Zero infrastructure overhead, type-safe queries, and you can migrate to Cube.dev if you outgrow it.

Need no-code dashboard building? Consider Metabase, Embeddable, or Luzmo depending on your budget and embedding needs.

Have a data warehouse already? Mitzu might be perfect for product analytics; Cube.dev for general semantic layer needs.

SQL-first team? Redash or Superset let analysts write raw SQL. Drizzle Cube adds a semantic layer for safer, reusable queries.

Budget-conscious? Drizzle Cube, Metabase (self-hosted), Redash, and Superset are all open source.

Enterprise requirements? Cube.dev and Luzmo offer commercial support and SLAs.

Next Steps

Ready to get started with Drizzle Cube?

Quick Start Guide - Embed your first dashboard in minutes
How It Works - Understand the architecture
Scaling Your SaaS - See how Drizzle Cube grows with you