Our highly experienced consulting associates are the industry leaders in configuring DW Appliances. Additionally, we have a vast retail knowledge to implement DW Appliance in a cost-effective and timely manner to meet the business needs.

Data Warehouse Appliances

Data warehouse appliances are revolutionizing the world of data warehousing. Instead of purchasing software, hardware and storage from multiple vendors and utilizing thousands of hours of DBA time to integrate and maintain them, an appliance does the job for you. DATAllegro’s data warehouse appliances bring together a comprehensive set of leading-edge technologies that have been integrated and tuned for world-class performance, out-of-the-box.

DW Appliance

• Architecturally integrates hardware, DBMS and storage into one opaque device
• Combines the best elements of SMP and massively parallel processing (MPP) approaches
• Fully compatible with existing BI applications, tools and data
• Enables ad hoc queries and complex analytics with terabytes of data
• Improved performance of selective queries on large volume of data due to automatic parallelism
• Significant reduction in  network traffic due to data distribution
• Hot swappable : Components can be removed and replaced instantly for remediation without down-time
• Modular : Simply add more Appliances as data or performance needs grow
• No Single Point of Failure : Full redundancy at all levels to support high availability data warehouses
• Automatic Fail over : If a node within an Appliance fails the Appliance keeps running with no down-time

Gains made through DW Appliance

• Able to retrieve valuable decision-aiding intelligence from terabytes of data in seconds or minutes versus hours or days
• Compatible with existing BI applications
• Appliance being expandable to ever-growing needs of users
• Rapid ROI

Factors driving DW Appliance Acceptance

• Increasing need for in-depth analysis from standard reporting towards interactive ad hoc BI and discovery analysis
• Infrastructure are unable to effectively handle the demands of in-depth analysis of larger amount of data
• Traditional approach of adding hardware and vendors upgrading the systems incrementally without any change to underlying architecture has made current patchwork solutions difficult  to manage and maintain
• Economic impact of supporting existing infrastructure leaves some organization  in cold with inability to purchase, deploy and maintain DW that fits their business needs
• Need for near real-time results in order to make timely decision based on Vital business information