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Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Chatting with Databases: AI Tools and Platforms You Need to Know

Published: December 6, 2024

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Previously, I shared REX, an open-source app I developed, for querying and analyzing databases. Full breakdown at Releasing REX-2.

Today's focus is on exploring the broader landscape of tools and platforms for chatting with and analyzing databases.

Platform Overview

In the attached document, I've listed 19 platforms-a mix of production-ready tools and working prototypes, from simple to complex. Includes both open source, paid and hybrid options. While not exhaustive, it offers a wide range of options. I've done quick tests for most but not in-depth evaluations.

20 AI Analytics Platforms

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For Decision Makers

Use, clone, customize, or build features relevant to your needs. Features can be built out relatively quickly using AI Assisted Coders like Cursor AI. Machine learning and real-time voice aren't typically integrated, but can be custom built, and Custom GPTs already have in-built functionality (limited).

For Hands-On Implementers

Unique Features Across Apps

Most apps provide standard features like database connectivity, querying, charts, and authentication. Some standout functionalities include: