Best AI tools for data engineers

The standard for data transformation — write SQL transforms with software engineering best practices.

Open-source ELT platform — 350+ connectors, self-hostable, and the most flexible data integration tool.

Fully managed data pipelines — replicate data from 500+ sources to your warehouse with zero maintenance.

Advanced open-source relational database

Cloud data platform for data warehousing and analytics

Unified analytics platform built on Apache Spark

Serverless enterprise data warehouse on Google Cloud

Popular open-source relational database

Enterprise relational database management system

Open-source Segment alternative — customer data pipeline with warehouse-first architecture.

The most powerful search and analytics engine — full-text search, log analytics, and AI vector search.

Modern BI platform with LookML — governed metrics layer for consistent analytics across the enterprise.

Data catalog and governance platform with AI

AI-first code editor — understands your entire codebase, writes and debugs alongside you.

Agentic AI IDE — takes multi-step actions autonomously to write, debug, and ship code.

The frontend cloud — deploy, scale, and iterate on web applications instantly.

Modern cloud platform — deploy any stack in minutes without infrastructure expertise.

Anthropic's Claude API — the most capable and safest AI for business-critical applications.

The most widely adopted AI API — GPT-4o, embeddings, image generation, and speech.

Multi-agent AI framework — build crews of specialized AI agents that collaborate to complete complex tasks.

Microsoft's open-source multi-agent framework — agents that converse, code, and execute to solve problems.

The data framework for building production RAG applications and AI agents over your own data.

The engineering-first issue tracker — fast, opinionated, and beautifully designed.