High-performance server and storage maker SGI and NoSQL database provider MarkLogic, joining forces to compete against the likes of Oracle, IBM and SAP, have come up with a new big data-optimised storage analytics package.
The SGI DataRaptor server housing a MarkLogic parallel database, released on 15 October, is a preconfigured, open-standards combination designed to make it faster, easier and less expensive for enterprises to generate reliable and secure reports.
“Most companies have relational databases or data warehouses for structured data, but they’d like to get their unstructured data into structures so they can make some sense out of it,” Franz Aman, SGI’s senior vice president of strategy and chief marketing officer, told eWEEK.
A lot of questions come up during these discussion, Aman said. “These can include ‘Are we doing this just for analysis purposes?’ or ‘Can we write applications against the big data set we have?’ It either means going with what people already have and paying for expensive extras for their warehouse and buying additional capacity, or going with Apache Hadoop and open source, and doing everything themselves.”
Both approaches have their pluses and minuses. SGI DataRaptor with the MarkLogic database presents an alternative to both of those choices.
DataRaptor is designed expressly for large-dataset analysis challenges, sophisticated search and rapid development of applications in financial services, public sector and media and entertainment, Aman said. The appliance integrates the MarkLogic enterprise-grade NoSQL database and other SGI systems to allow companies and enterprises to capture more data and do more with it, Aman said.
Open-standards-based hardware configurations designed specifically for the MarkLogic database are factory-integrated and tested so that SGI DataRaptor brings everything needed to support Big Data applications in a single system that is plug-and-play, Aman said. The deployment and can be up and running and delivering results in hours instead of days, he said.
MarkLogic’s enterprise-grade NoSQL database features ACID (atomicity, consistency, isolation, durability) transactions, horizontal scaling, real-time indexing, high availability, disaster recovery, government-grade security, and built-in search.
SGI DataRaptor is available starting at five nodes with 80 cores – complete with all software installed – up to hundreds of terabytes of storage, SSDs for hardware caching, network infrastructure including switches, Aman said. All of this is integrated in standard racks for data centre deployment. Technical support for the complete solution is managed via a single support touch point.
SGI DataRaptor comes in two configurations addressing either maximum performance or maximum capacity needs. Servers come with 300 processing cores, 2600GB of memory, and storage ranging from 300TB to 500TB of data capacity.
SGI and MarkLogic both have a list of customers in the government, research, media, financial and other verticals.
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There is a definite need for more big data solutions on the market so I see this as an encouraging move. Big data projects can be daunting to undertake and difficult to explain to business colleagues as it often has notional outcomes which cant' be fully explored until the process has been undertaken. But the trend to make as much of the technology which is available and data which it stores/creates ( similar to the call for social networks in the work environment http://ow.ly/evCvr ) means that it is something which more and more businesses will be doing in years to come. The more products which are available create standards and comparisons which can only help clarify the capabilities, opportunities and potential outcomes for decision makers.