Mage Blog

Dive into a comprehensive comparison of Apache Flink and Apache Spark, exploring their differences and strengths in data processing, to help you decide which framework best suits your data processing needs.

Join us for our first ever in-person data engineering meetup on Saturday, May 20, 2023 from 11am to 2pm (IST) in Gurugram, India! Don't miss this fantastic opportunity to connect, learn, and celebrate with your fellow data aficionados.

Discover the Hidden Benefits and Drawbacks of dbt.

Apache Flink is a powerful open-source stream processing framework for big data, offering real-time and batch processing capabilities. With its flexibility and scalability, Flink is ideal for use cases like fraud detection, log analysis, IoT (Internet of Things), anomaly detection, and machine learning, making it a go-to solution for organizations needing real-time analytics and insights.

⚔️ 130 teams across 15 different countries geared up for the first ever Mage Battlegrounds 24-hour virtual hackathon. Only a few emerged victorious. See who came out on top! 🏆

Join us for our first ever data engineering community competition! This 24-hour virtual hackathon will begin on April 15, 2023 with chances to win prizes totaling INR 82,500!

AWS S3 is a widely used option for data lake, let’s see how Singer helps Data Engineers to sync data from AWS S3 (source) to Postgres Database (destination).

Databases aren’t the only sources of data, modern data pipelines can consume data from various sources.

We setup Hyperquery at Mage to organize and streamline our growth data for better insights. In this blog, we go over our experience of quickly adopting the tool and easily sharing our analysis with our peers.

Mage is an open-source data pipeline tool for transforming and integrating data. Find out how Mage compares to open-source ELT alternatives like Airbyte. We’ll break down the features, pricing, pros, cons, and more.