What is Cosmos Server?
Cosmos Server is an open-source distributed computing platform optimized for big data analytics and machine learning workloads. It enables running massively parallel applications on clusters of commodity hardware including on-premises data centers or the cloud.
Key capabilities and benefits of Cosmos Server include:
- Parallel processing engine for running data-intensive distributed computations like MapReduce, Spark, and custom code
- High-performance shared storage system for holding large datasets and efficiently accessing them from parallel jobs
- Automated cluster management for provisioning, monitoring, and healing compute and storage resources
- Integration with popular data analytics frameworks like Apache Spark, Tensorflow, PyTorch, and more
- Ability to elastically scale cluster resources up and down to meet workload demands
- Fault-tolerance features like automatic failover to prevent job failures
- Runs on low-cost commodity hardware for affordable large-scale processing
With its scalable architecture and rich capabilities, Cosmos Server serves as an enterprise-grade platform for organizations to deploy big data systems on-premises cost effectively.