How Airbnb Uses SQL

The article reviews Airbnb's significant advancements in research and technology throughout 2025, focusing on their participation in key conferences and the impactful papers presented.

The article discusses Airbnb's innovative approach to achieving high availability with distributed databases on Kubernetes.

This article discusses how Airbnb segments its host availability data to gain insights into different hosting behaviors.

The article discusses Riverbed, a data framework developed by Airbnb to optimize data access and processing at scale.

Chronon is a declarative feature engineering framework developed by Airbnb to streamline the process of creating production-grade features for machine learning models.

This article discusses Airbnb's upgrade of its Data Warehouse infrastructure to Spark 3 and Iceberg, addressing challenges faced with the previous Hive and S3 setup.

The article chronicles Elizabeth Ponce's journey from a customer support specialist to a systems engineer at Airbnb.

This article discusses how Airbnb leverages the Minerva API to provide a consistent and simplified data consumption experience at scale.

The article discusses how Airbnb developed the Wall framework to enhance data quality and prevent data bugs across its data engineering workflows.

The article discusses how Airbnb has enhanced Apache Superset, an open-source data exploration and visualization platform, to meet its enterprise-level business intelligence needs.

The article discusses Airbnb's commitment to improving data quality through a comprehensive initiative that addresses ownership, architecture, and governance of data.

The article discusses the hidden performance costs associated with complex data pipelines, specifically focusing on overhead.

The article discusses the importance of engineering education for data scientists at Airbnb, emphasizing how it enhances their ability to interface with engineering teams and improves data quality.

The article discusses Airbnb's initiative, Data University, aimed at enhancing data literacy among its employees through tailored training programs.

The article discusses how Airbnb utilizes Druid, a big data analytics engine, to enhance their analytics capabilities for real-time and batch processing.

The article discusses the experiences of a Data Science intern at Airbnb, focusing on the roles and responsibilities within the Airbnb Plus team.

The article discusses the development of an internal online marketing system at Airbnb aimed at acquiring new hosts through effective online advertising.

The article discusses the importance of maintaining an accurate calendar for Airbnb hosts and how contextual calendar reminders can enhance booking reliability.

The article discusses how Airbnb democratizes data science through its initiative called Data University, aimed at empowering all employees to make data-informed decisions.

The article discusses how Airbnb's Payments team scaled their financial reporting system to handle increasing transaction volumes and complexity.

The article discusses Superset, a data exploration and visualization platform developed by Airbnb to democratize data access and empower users of varying data literacy levels.

StreamAlert is an open-source real-time data analysis framework designed for automated alerting and security.