Aster Database Cloud Edition

Big Data Analytics On-Demand At Your Scale

Aster Database Cloud Edition brings the analytic power of Teradata Aster Discovery Platform together with the flexibility and agility of cloud infrastructure so you can deliver rich analytics that rapidly and easily scale to incorporate large volumes of multi-structured data. Aster Data has partnered with leading cloud infrastructure providers including Amazon Web Services (AWS), Dell, and Terremark to deliver a true analytic platform at cloud scale. Aster Database Cloud Edition leverages the elasticity, scalability, and persistence of cloud computing.

Aster Database is a massively parallel software solution that embeds MapReduce for big data analytic processing with data stores that incorporate new multi-structured data sources and types. It delivers new data science analytic capabilities with breakthrough performance and scalability. Aster Database Cloud Edition is designed for fast-start deployments and organizations with existing data.

Featured Cloud Partner

Aster Data and Dell have partnered to deliver performance-optimized cloud solutions for big data analytics. The solutions provide a compute-rich hardware platform of Dell servers ideally suited for Aster Database Cloud Edition. The combination expands the solutions available for both public and private clouds, making it easy for companies with a range of data sizes and analytic needs to deploy and run mission-critical data-driven applications.

Architected for Performance, Reliability, & Easy Expansion
Aster Database Cloud Edition is the only massively analytic platform in the cloud that allows applications to be fully embedded within the database engine for ultra-fast, deep analysis of massive data sets. Aster Database's unique “applications-within^™” approach allows application logic to exist and execute with the data itself for advanced in-database analytics. Aster Database Cloud Edition uses SQL-MapReduce^® together with parallelized data processing and applications to address the big data challenge. Because Aster Database Cloud Edition is purpose-built for the cloud, you can:

• Start your analytic application  project quickly
• Scale easily from gigabytes to terabytes and petabytes with no downtime
• Gain deeper insights to your data with SQL-MapReduce^®

Start Quickly

Big data analytics projects do not have to cost a lot or take long to implement. Aster Database Cloud Edition provides an easy approach to setting up a scalable system. It can increase your speed to market – enabling you to provision nodes to Aster DatabaseCloud Edition for data loading, reporting, and analytics within hours.

Scale Easily with No Downtime

Aster Database Cloud Edition is integrated with leading vendors to provide the most manageable on-demand analytic platform built from the ground up for maximum resiliency and easy scaling. Live System Administration enables routine tasks to be performed while the system is online — without degradation of query performance. Aster Database Cloud Edition is the only massively parallel processing (MPP) system with Online Precision Scaling^™ — one-click provisioning to increase or decrease capacity or performance across functional tiers (query, loading, backup, etc.) independently to meet workload requirements.

Gain Deeper Insights with SQL-MapReduce

Companies that need to power data-driven applications – digital digital marketing optimization, fraud detection and prevention, social network and relationship analysis, and machine data analysis, for example – need more than simple SQL reports. Aster Database Cloud Edition is the only MPP analytic platform in the cloud with SQL-MapReduce. It combines the power and analytic expressiveness of MapReduce with the rich functionality and support of SQL – all in the cloud for on-demand advanced analytics.

Sign Up Today

Contact us at 1-888-Aster-Data (650-232-4400) or info@asterdata.com to learn more or order your Aster Database Cloud Edition instance. You can find out more about cloud deployment in this case study on ShareThis.