October 2022 Summaries

Big Data LDN (London) is the UK's leading data and analytics conference, featuring numerous talks and vendor exhibitions over two days, where Javier Ramirez from QuestDB presented on "Ingesting A Million Time Series Per Second On A Single Instance." The event, which took place on September 21 and 22, 2022, attracted a diverse crowd including data engineers, analysts, decision-makers, and students, and showcased well-known tools and databases like Kafka, ClickHouse, InfluxDB, MongoDB, and Fivetran. Ramirez's talk focused on the capabilities of QuestDB, emphasizing its ability to manage fast queries alongside heavy data writes, and discussed the database's innovations such as optimizing imports with io_uring and using JAVA with minimal Garbage Collection. Attendees were particularly interested in QuestDB's real-world applications, horizontal scalability, and ease of transitioning from relational to time series databases, with the event fostering discussions on potential collaborations and real-time data challenges across various industries, including finance and motorsports.

DevStories introduces readers to how developers utilize QuestDB by featuring interviews with community members, starting with Kevin Kamto, Co-founder of AthleteX. AthleteX offers a fantasy sports prediction market where users can invest in athletes' performance through Athlete Performance Tokens (APTs), with prices based on real-time sports data. Kevin's background in IoT led him to choose QuestDB for its speed and ability to handle large volumes of time series data, essential for AthleteX’s operations. QuestDB plays a central role in their backend, managing massive datasets and enabling fast queries essential for updating real-time charts on their frontend. Despite initial challenges with QuestDB's security features, AthleteX developed an API to allow user queries while maintaining database integrity. Kevin looks forward to future QuestDB features, such as high availability and enhanced integration with user-friendly dashboard tools like Metabase, to further improve their system’s functionality and user experience.