Abstract
In an era dominated by data, the demand for efficient databases and storage retrieval systems continues to escalate. The selection of the appropriate programming language has always been crucial in designing software capable of handling high volumes of data with optimal performance. Despite being a garbage-collected language, Go has emerged as a leading choice for developing high-performance databases, owing to its multitude of valuable benefits. From its adeptness in managing concurrency to its robust standard library and emphasis on simplicity, Go offers a compelling package.
Numerous real-world examples underscore the effectiveness of Go in building efficient databases. Among them, immudb, an open-source tamperproof immutable database written in Go, offers a prominent illustration. Using immudb as a focal point, this talk endeavors to analyze the advantages and disadvantages of employing Go for database projects. We will explore its agility in handling complex data structures, ease of deployment, and seamless integration with concurrency. Additionally, we'll navigate through the challenges and trade-offs, such as the learning curve for newcomers and potential performance bottlenecks in specific use cases.
Regardless of your interest in database development, this talk guarantees valuable insights into leveraging the capabilities of Go for crafting scalable and performance-critical applications.
