DeepInspire
15 Case Studies
A DeepInspire Case Study
DeepInspire was engaged by Big Data Company to overcome the significant front-end performance challenges of their B2B big data analytical web application. The primary issue was that the application's local database, which held a massive and complex graph-like data structure, had to scale from handling 20,000 to over 200,000 elements. This growth caused severe performance degradation and browser instability, especially given the core requirement to maintain full support for Internet Explorer 10.
To solve this, DeepInspire implemented a suite of performance optimizations, including a custom "virtual scroll" for long lists that only renders specialized enhancements for displaying large-volume charts. These efforts resulted in a stable and high-performance system where all basic user operations are completed in under 200 ms. DeepInspire's solution also successfully prepared the application's architecture to support an additional four-fold growth in database size, ensuring its scalability for the future.
Big Data Company