For the Expanding Universe of Real-Time Apps
According to IDC, real-time data was less than 5% of all data in 2015 but is projected to comprise almost 30% of all data by 2024. They project that by 2021, 60-70% of the Global 2000 will have at least one mission-critical real-time workload.
This Big Bang of real-time data is driving the expansion of real-time analytics and AI/ML applications into the mainstream. Another result is real-time applications are out-pacing the capacity, performance, and availability capabilities of in-memory infrastructure.
MemVerge responds to the need for a modern in-memory computing model with Memory Machine, the first in the new class of Big Memory software that virtualizes DRAM and persistent memory so that memory can be accessed without code changes, scale-out in clusters to provide the capacity needed by real-time analytics and AI/ML apps, and deliver enterprise-class data services for high-availability.
Memory Machine is a Linux-based software subscription deployed on a single server or in a cluster. Once DRAM and persistent memory are virtualized, Memory Machine can set-up DRAM as a “fast” tier for persistent memory and provide enterprise-class data services including snapshots, replication, cloning and recovery.
|KX||kdb+||Time-series in-memory database|
|Autodesk||Maya||3D animation and rendering|
|Apache Software Foundation||Spark||Cluster-computing framework|
|Redis Labs||Redis||In-memory key–value database|
|Apache Software Foundation||TensorFlow||Machine learning framework|
|Open Source||PyTorch||Machine learning framework|
|Apache Software Foundation||Flink||Stream processing framework|
|Apache Software Foundation||XGBoost||Gradient Boosting framework|
|Hazelcast||Hazelcast||In-memory data grid|
|Apache Software Foundation||Cassandra||Wide column store, NoSQL database|
|Apache Software Foundation||RocksDB||Persistent key value database|
|Apache Software Foundation||HBase||Non-relational distributed database|
|GNU||MySQL||Relational database management system|
|BSD||MemcacheD||In-memory key-value database|
|Customer||Custom||Market data streaming|
|Customer||Custom||Real-time order management|
|Hardware||Second Generation Intel® Xeon® Scalable Processors, formerly Cascade Lake, with Optane DCPM memory|
|Operating Systems||CentOS version 8.1, 8.0 (with kernel version 4.18 or 4.20), 7.6, 7.5, or 7.4, RHEL Version 8.1, 8.0, 7.6, 7.5, or 7.4|
|Hypervisors||Linux KVM, VMware ESXi running on above HW (vSphere 6.7, 7.0)|
|Containers||Docker, OpenShift, and Kubernetes|