Cube Dev

COTA, a healthcare company founded in 2011, specializes in combining oncology expertise with advanced technology and analytics to organize real-world medical treatment data for cancer research and care. They have access to millions of electronic oncology patient records, a data volume unmatched in the oncology healthcare industry. One of their products, the Real World Analytics (RWA) solution, helps clinicians and researchers make sense of fragmented and often incomplete electronic health records (EHR) data. However, COTA faced challenges with their existing off-the-shelf solutions like Qlik and Tableau, which required heavy customization and specialty configuration knowledge. They sought a more developer-friendly ecosystem that could handle their vast data and provide a single source of truth.

Ternary, a FinOps platform provider for Google Cloud (GCP) customers, was facing the challenge of managing and analyzing the large volume of cost-related data generated by its rapidly growing customer base. The platform, which aids cloud engineers, IT finance, and business teams in optimizing public cloud costs, had to deal with the complexities of providing a SaaS platform at scale. The challenge was to break down costs by projects and other dimensions across a time series for users with many values in a given dimension. The company was frequently running into issues with Cube’s response limit of 50,000 rows, which could result in incomplete datasets and inaccurate total cost calculations. The challenge was to present complete, accurate data to users, enabling them to perform multidimensional analysis of vast volumes of cost data.

sublimd, an award-winning medical software platform based in Switzerland, was facing a significant challenge in early 2019. They had received a request for a new module, sublimd Analytics, from a client. At that time, they had an open-source business intelligence server solution in their product. However, they were struggling with preconfiguring their analytics dashboards and delivering them ready-to-use to their non-technical customers. They needed a solution that would allow them to have full control over the customer configuration, which would be tracked in a version-control system. The challenge was to find a solution that would fit their technology stack, which included Node.js, MySQL, and Redis, and allow for a simpler deployment process.