The best 8 AI Data Analytics to use in 2025

Temperstack is a comprehensive AI-driven platform designed specifically for Site Reliability Engineering (SRE) teams and DevOps professionals. Think of it as a smart assistant that watches over your entire technology stack and helps prevent problems before they affect your users.

GrowthBook is an open-source feature flagging and A/B testing platform designed to help companies release features safely and measure their impact with confidence. Think of it as your complete experimentation toolkit that works with your existing data setup.

Drata is an AI-powered security and compliance automation platform built to deliver continuous monitoring and automated evidence collection for audit readiness. Think of it as a mix between traditional compliance tools and modern automation, but better.

Glide is a web-based no-code app builder that specializes in creating progressive web apps from your existing data. Think of it as a bridge between your spreadsheets and professional software applications. The platform takes your data from sources like Google Sheets, Airtable, or Excel and automatically generates a beautiful app interface around it.

Apify is a comprehensive web scraping and browser automation platform designed to help businesses extract data from websites at scale. Think of it as a marketplace combined with a powerful infrastructure that handles all the complex technical parts of web scraping for you.

Cheat Layer is an AI-powered automation platform that uses custom-trained GPT-4 models to create sophisticated business automations through simple conversations. Think of it as having a software engineer who speaks your language and can build any automation you describe.

Helicone AI is an open-source observability platform designed specifically for developers working with Large Language Models. Think of it as your AI application's dashboard that shows you everything happening under the hood.

Waydev is a software engineering intelligence platform designed specifically for engineering leaders who want to understand how their development teams are really performing. Think of it as Google Analytics for your code and development process.