1 year ago

“Real-time describes various operations or processes that respond to inputs reliably within a https://en.wikipedia.org/wiki/Real-time.”— Wikipedia https://www.linkedin.com/in/neel-phadnis/ Real-time data must be processed soon after it is generated, otherwise, its value is diminished, and real-time applications must respond within a tight timeframe or the user experience and business results are impaired. Real-time applications must have reliable, fast access to all data, real-time or otherwise.

This article discusses the database perspective on building large-scale real-time JSON applications and touches upon the following key topics: What to look for in a real-time data platform.

The database must support fast ingestion speeds so that surges in real-time data feeds do not overwhelm the system or result in data loss.

Real-time large-scale JSON applications need reliable, fast access to data, high ingest rates, powerful queries, rich document functionality, scalability with no practical limit, always-on operation and integration with streaming and analytical platforms.