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

Big Data Applications and Data Warehouses Must 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.

Always-Parallel, for Breakthrough Performance and Scaling

Aster Data nCluster 4.0 runs 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 performance along with easy management, continuous availability, and low hardware cost.

  • Unlimited Scalability –Online Precision ScalingTM 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.

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 including intelligent data placement, network-optimized shuffling, dual-stage query optimization, and I/O-optimized table compression ensure ultra-fast analysis for terabyte to petabytes of active data.
Top Picks
Data Sheet: Aster Data nCluster 4.0 Data-Application Server
Technology Brief: Aster Data nCluster – Performance and Scalability
Webcast: Bringing Big Data Analytics to the Enterprise - 11/12, with Merv Adrian
Aster Data provides powerful analytics capabilities that cut down our end-to-end fraud analysis cycle time from 7 days to 15 minutes, and queries that took 90 minutes now execute in 90 seconds.

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