XAP Skyline is a cloud-native, in memory data grid (IMDG) solution designed for mission critical cloud-native apps. It provides extreme performance data processing and transaction management, significantly reducing access times and increasing throughput, which is crucial for real-time decisioning and transactional applications. XAP Skyline solves the latency challenge by bringing the data closer to the application, into the same application network, and uses an in-memory data store to enable fast and concurrent access to the data. The platform offers a seamless, efficient architecture that supports the dynamic scaling and deployment flexibility required by modern applications, without compromising on response time.
Gigaspaces's answer
Hazelcast - Clustering and highly scalable data distribution platform for Java
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
OpenZoo - OpenZoo is an open-source, distributed, stream and batch processing framework.