Redis for Geospatial Data
Location Data. Radically Simplified
Geospatial data or location data is increasingly important for many applications, but epitomizes a complex real time big data challenge. Applications that use and manage geospatial data find it extremely challenging to manage high frequency read, writes and search requests at high volume.
Advantages of Geospatial Data Processing and Analysis with Redis
- Redis data structures include geo specific commands allowing for extremely simple, low latency and efficient processing of location data in-memory
- The high throughput and low latencies of Redis allow for very high volumes of such data to be processed and combined with other data with very little hardware
- When combined with Redis capabilities such as pub-sub, geo commands lend a simplicity of implementation that reduces application complexity, network bandwidth consumption and faster execution