Aster Data nCluster:
Always Parallel, for Breakthrough Performance and Scaling

Big Data Analytics Require Data Warehouses to Scale

As data volumes and sources continue to increase, your data warehouse and data-driven applications are put under enormous strain. That's if you can load the data fast enough to satisfy service-level agreements. Scaling data and analytics to manage terabytes or petabytes of data requires a pervasively-parallel architecture across all functions of the system: querying, processing, loading, export, and even back-up/restore.

Massive Parallel Processing (MPP) for Breakthrough Performance and Scaling

Aster Data nCluster provides massive parallel processing (MPP) on any standard commodity server from leading vendors such as Dell, Hewlett Packard, IBM, and Sun. Innovations in large-scale distributed systems enable breakthrough performance with linear scale-out to petabytes of user data. The result: 10x-1000x better performance along with easy management, continuous availability, and low hardware cost.

• Unlimited Scalability - Online Precision Scaling™ provides linear scalability across functional tiers (loads, queries, backups) independently or in unison to meet workload requirements. Granular splitting and load balancing of virtual partitions maintains maximum parallelism across CPU cores and servers for massive, “no limits” scalability.

Aster Data nCluster provides massively parallel processing (MPP) across all tasks

• Pervasive Parallelism – Independent scaling of each function (loads, queries, processes, exports, backups, recoveries, installs/upgrades) guarantees end-to-end parallelism for maximum performance.
• Optimized to Deliver the Highest Performance – Patent-pending algorithms for intelligent data placement, network-optimized shuffling, dual-stage query optimization, and I/O-optimized table compression ensure ultra-fast in-database analytics on terabyte to petabytes of active data.