Compare 47 AI tools for data engineering. Find the perfect tool with features, pricing, and honest reviews.

AI-ready data integration platform

AI for analytics engineering

Open-source workflow orchestration platform

Modern workflow orchestration platform

Data orchestration for reliable pipelines
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Open-source data movement platform

Automated data pipelines for analytics

Query distributed data with SQL

Fast analytics across distributed data

Real-time analytics database

Real-time analytics datastore

Governed metrics layer for analytics

Open lakehouse for AI workloads

AI-ready lakehouse analytics platform

AI-native lakehouse for data and ML

Cloud-native messaging system
Reliable open-source message broker

Cloud-native messaging and streaming platform

Distributed event streaming platform
Real-time stream processing framework

Fast distributed data processing engine

AI workflow orchestration platform

AI-ready data orchestration

Open-source DataOps platform
AI-supported data transformation

Low-code data engineering platform

Autonomous data pipeline platform

Visual data transformation for Snowflake

Managed Apache Airflow platform

Open-source orchestration platform

Build data pipelines with AI assistance

Open-source ELT and DataOps platform

Cloud-native data pipeline platform

Data integration and quality platform

Distributed SQL query engine

Build real-time data APIs from SQL
Distributed realtime messaging platform
High-performance messaging library
Open-source message broker
Real-time stream processing system
Distributed stream processing framework

Distributed real-time computation system
Distributed big data processing framework
Make everyone on your team a data engineer.
Connects to database platforms to enhance data quality.
Enhance your code with AI assistance.
Transforming data into fast, actionable predictions.