Introduction
Mako is an AI-powered data platform designed to be the “Cursor for Data.” It enables you to build a data warehouse by connecting to your existing databases and third-party data sources, and then use AI to write queries and analyze your data.
Core Concept
Section titled “Core Concept”Mako stacks four key components to solve the data fragmentation problem:
- ETL Pipeline: Connects to various data sources (Stripe, CRMs, Databases) and syncs data into a unified warehouse.
- Database Client: A universal interface to run queries across all your connected data.
- AI Analyst: An AI assistant equipped with tools to inspect schemas, write SQL, and explain results.
- Collaboration: A multi-tenant SaaS layer to share insights and queries with your team.
Why Mako?
Section titled “Why Mako?”- Unified View: Break down silos by pulling data from Stripe, Close.com, Postgres, and more into one place.
- AI-First: Don’t just run SQL; ask questions in plain English. Mako understands your schema.
- Open Source: Built on modern open-source technologies. You own your data and your infrastructure.
- Extensible: Add new data sources easily using the Connector SDK.
Who is it for?
Section titled “Who is it for?”- CEOs/Founders: Get answers to business questions without waiting for a data analyst.
- Data Analysts: Automate the boring parts of ETL and query writing.
- Product Managers: Make data-driven decisions with direct access to product metrics.