August 2022 Summaries

Edison Interactive (EI) has teamed up with HarperDB to improve its connected device ecosystem, resulting in reduced latency and faster content delivery, particularly in remote locations. This partnership has notably enhanced the Shark Experience, which equips golf carts with digital displays for features like music streaming and live sports updates, by incorporating HarperDB's framework to improve connectivity and minimize latency issues. Additionally, the collaboration has optimized API call speeds, load times, security, and overall end-user experience. The Edison Platform, an end-to-end content management system, now leverages HarperDB's advanced technology to provide these improvements.

A distributed database is a system where data is spread across multiple locations, often on different computers or networks, and appears as a single database to users, facilitating global accessibility and local control. This architecture enhances scalability, availability, fault tolerance, and performance by distributing data storage and processing tasks, which can be particularly advantageous for organizations with large-scale data needs and diverse compliance requirements. Two primary methods of data storage in distributed databases are duplication, which involves replicating data across sites for availability and parallel processing, and fragmentation, which breaks data into smaller pieces stored at different locations to prevent inconsistencies. Distributed databases can be homogeneous, where all sites use the same DBMS and operating system, or heterogeneous, where different locations employ various systems and technologies, complicating query execution and transaction processing. Harper is an example of a distributed data and application development platform that integrates both SQL and NoSQL, providing efficient data management through features like complete indexing, a dynamic schema, and custom functions, thereby supporting complex queries and offering a developer-friendly experience.