Aster Data nCluster:
Run Data-Driven Applications at Warp Speed

Big Data applications demand richer, deeper data processing at ultra-fast speeds, massive but cost-effective scaling and the ability to seamlessly manage diverse workloads. From applications like fraud detection, to customer intelligence, to trending & forecasting, to scenario modeling, to customer personalization and targeting, to click stream analysis – it is evident that enabling fast, deep processing of very large data sets can have a material impact on the business.

Aster Data nCluster

Aster Data’s nCluster is the first MPP data warehouse architecture that allows applications to be fully embedded with the database engine to enable ultra-fast, deep analysis of massive data sets. Termed a “Massively Parallel Data-Application Server”, Aster Data’s solution uses SQL-MapReduce with parallelized data processing and applications to address the big data challenge.

Aster Data nCluster is available in three product lines, with the same massively parallel data-application server at the heart of each architecture:

Aster Data’s solution is the first massively parallel data-application server that uses Aster Data’s unique Applications-Within™ approach. Applications-Within places application and analytics logic where data natively resides to speed analysis of large data sets. Data processing and applications are fully parallelized and run on low-cost commodity hardware. Aster Data’s solution Aster Data’s patent-pending SQL-MapReduce which enables rapid application development and reusability.

Aster Data nCluster: a massively parallel data-application server

Advantages of Aster Data nCluster:

Top Picks
Data Sheet: Aster Data nCluster 4.0 Data-Application Server
Whitepaper: New MapReduce Whitepaper
Webcast: Bringing Big Data Analytics to the Enterprise - 11/12, with Merv Adrian
We have done an analysis of what is currently available in the market concerning modern large-scale data analytics solutions, and Aster Data had the most complete product that met our requirements for rich analytics, scale, speed and overall cost of ownership.

Telefonica I+D
Richard Benjamins, Director of User Modeling
Companies need to bring the applications and data closer together. By bringing applications into the MPP database engine, Aster Data is opening the floodgates to the types of valuable analytics companies can do.

Hired Brains
Neil Raden