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August 27, 2007
DATAllegro Grid-Enables Data Warehouse Appliances
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SAN DIEGO, Aug. 21 -- DATAllegro, supplier of the most advanced data warehouse appliance on an enterprise-class platform, has expanded its successful v3 product line to include new grid-enabled data warehouse appliances. DATAllegro is the first data warehouse appliance vendor to offer this option, which allows companies more flexibility in building their enterprise data warehouse architecture so that it better fits the needs of both the overall business and individual business units.
Traditional enterprise data warehouse solutions have required companies to centralize their data warehouse, keeping all data in one system. These systems are typically very expensive because they must hold huge volumes of data while still offering good query performance. Independent data marts offer an alternative to this centralized model by allowing companies to build a number of low-cost, high-performance systems but don't provide the same corporate governance as the centralized model.
With the introduction of its grid-enabled DW appliances, DATAllegro customers can now build a hub-and-spoke architecture and benefit from the speed and performance of independent data marts, coupled with the data governance of a centralized data warehouse.
"Over the past five years, a dedicated data warehouse appliances market has emerged and is providing compelling price/performance value propositions to organizations looking to evolve their business analytics IT architectures," said Dan Vesset, vice president of business analytics research with Interactive Data Corp. "As this market segment is becoming more competitive, DATAllegro's grid-enabled deployment of its appliances represents an important step toward differentiating the company's offerings."
"Grid enablement makes more data warehouse architectures and configurations feasible," said Philip Russom, senior manager with The Data Warehousing Institute (TDWI). "That's because the grid can integrate multiple data warehouse appliances into distributed architectures based on hubs, federation, conformed dimensions and so on. Although these are possible without grid-through standard interfaces like ODBC and so on-the point of grid is that it integrates multiple appliances through the same high-speed infrastructure found within individual appliances, thereby giving the entire architecture the same desirable performance, reliability and low-maintenance characteristics that individual appliances are famous for. With grid making distributed data warehouse architectures more feasible, user organizations can creatively integrate multiple appliances to meet departmental requirements for analytic applications and query performance, as well as corporate requirements for data governance, data consistency and an integrated view of enterprise performance."
"There are several major reasons to split up data warehouses, including workload contention, price/performance segmentation or just organizational politics," said Curt Monash, president of Monash Information Services and author of the influential blog DBMS2. "If query and data movement work directly between individual nodes of different appliances, you can get those benefits with many fewer drawbacks than there were before."
"DATAllegro v3 uses an all-commodity platform including Dell servers, EMC storage and Cisco switches," said Stuart Frost, CEO of DATAllegro. "This architecture not only provides customers with superior reliability but also enables us to be more innovative than our competitors that are based on proprietary technology. Grid technology is one such innovation and is a huge differentiator between us and companies like Netezza and Teradata."
Additional Applications of Grid-Enabled Data Warehouse Appliances
In addition to hub-and-spoke, companies can also use DATAllegro's grid-enabled data warehouse appliances in a multi-temperature architecture, which gives companies the ability to analyze many years of historical data at a reasonable price (as low as $8,000 per terabyte). Recent data that needs to be queried most often is kept on a high-performance appliance. Older data is kept on a separate, lower cost, lower performing appliance where it can be easily queried and analyzed, with no impact on the user community. One large telecommunications company has already purchased a system and expects to deploy it in September 2007.
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Source: DATAllegro
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