Can you deliver real-time calculations, on real-time data, for real-time critical decisions?
Analytics applications face an escalating need for performance, while data quantities grow exponentially and the need for real-time reports is increasingly urgent.
Analytics applications demand higher throughput and lower latency than ever, to meet the challenge of processing terabytes of data, from various sources, which must be available to multiple processes, making system management increasingly complex. Moreover, the ability to mitigate risk and make fast trading decisions requires gaining meaningful information from these vast data streams in real time.
Compute grids are unable to handle these exacting requirements – they are expensive and difficult to maintain, failing to meet the tera-data and real-time challenges. Nor can all system components scale together to meet actual needs.
GigaSpaces provides an end-to-end solution for all analytics requirements – functional, scaling, provisioning, and load-balancing – in a single, in-memory platform.
XAP is built to run real-time, event-driven analytics in memory, co-located with the data. XAP has built-in multi-tenancy support, enabling multiple analytics processes to run on a shared infrastructure while maintaining strict isolation. The result – a more complete solution, providing faster results, at a lower cost, while preserving transactional integrity.
GigaSpaces is the only solution that enables you to develop, deploy, and manage your application, data, and messaging services with a single product. XAP delivers true end-to-end scaling with:
- Dynamic provisioning to meet fluctuating loads.
- High performance for latency-sensitive environments.
- Continuous uptime/high availability through automatic failover and self-healing.
Cost efficiencies through maximum resource utilization, standard development and
deployment environments, and advanced management tools.