October 2023 Summaries

GlareDB has introduced official support for PRQL, a domain-specific language designed for querying and transforming data using a pipeline metaphor, as part of its v0.6.0 release. PRQL, which can be translated into SQL, allows for a streamlined approach to data manipulation by enabling users to set the dialect to PRQL in GlareDB, thus simplifying the process and avoiding the need for manual translation to SQL. This integration is aimed at enhancing user experience by allowing more interactive use cases directly within GlareDB. Users can easily switch between PRQL and SQL as needed, and the GlareDB team is actively seeking feedback to refine and expand the PRQL features, including improved data interaction functions and validation processes. Further updates and enhancements are anticipated as part of GlareDB's ongoing development efforts.

GlareDB has launched version 0.6.0, introducing GlareDB Pro with a focus on simple and transparent pricing for its serverless platform. Users of GlareDB Pro pay based on actual usage, specifically bytes processed, with charges of $7 per TB for data scans and writes, and $23 per TB for storage, aiming to provide cost transparency and control. The Pro plan allows for unlimited data operations, multiple deployments, and support for up to 30 organization members, while the Free plan offers limited data processing and storage with fewer resources. The update also includes PRQL support, improved data source integration, and compatibility with cloud storage solutions like S3 and GCS. GlareDB emphasizes evolving with user feedback to enhance its serverless offerings, ensuring alignment with user needs and operational efficiency.

Sam Kleinman shares his enthusiasm about joining GlareDB, highlighting the parallels between his past experience with MongoDB and the current opportunities in serverless computing and analytics workloads. He reflects on his career, which includes writing the first major version of the MongoDB manual and working on infrastructure projects like release automation and distributed CI systems. Kleinman is excited about the potential of GlareDB to simplify data usage by allowing developers to work with their existing tools and data, emphasizing the importance of building intuitive systems that reduce developers' peripheral workload. He finds it exhilarating to work in an era where technologies such as Rust, cloud computing, and serverless architecture are reshaping the landscape, and he looks forward to contributing to GlareDB's promising roadmap and collaborating with a talented team.