These 5 Big Data Vendors Want Your Channel Business
Submitted by Kevin McLaughlin on
Hewlett-Packard
HP built its big data portfolio primarily through its acquisitions of Autonomy and Vertica, and it's leveraging the power of its vast channel to get the technology up and running in enterprises.
The Palo Alto, Calif.-based computing giant is not skimping when it comes to promoting its big data capabilities, either. HP Software chief George Kadifa told CRN last March that HP had earmarked $1 billion for R&D and marketing for its big data software portfolio in 2013.
Last June, HP rolled out what it described as a best-of-breed big data platform called "HAVEn," -- Hadoop, Autonomy, Vertica, and Enterprise Security (the lone "n" stands for the large number of hardware and applications that connect to the HP Big Data analytics platform).
Bill Loupakos, senior vice president of professional Services at American Digital Corporation, an HP partner based in Elk Grove Village, Ill., said he's seeing growing demand for HP's Vertica in-memory database, which, along with Autonomy, forms the basis for the company's big data strategy.
"We literally have three to five sales cycles weekly for Vertica opportunities," Loupakos said. "Vertica, with the HP name behind it, is now competing with Oracle Exadata head-on and solving a lot of customer issues."
Google made a big data splash in March by significantly boosting the data processing speed of BigQuery, its cloud-based service for analyzing large data sets. Google created BigQuery years ago in order to analyze the log files for its massive number of Web servers.
Google says BigQuery will soon be able to handle 100,000 rows of data per second, compared to its previous capacity of 1,000 rows per second. Google also claims that BigQuery is cheaper than competing services like Amazon Kinesis and others.
But for Google, it's not just about speed and cost. Digitaria's Bellin said Google's moves to integrate BigQuery with other widely used enterprise analytics tools are just as important to its customers and partners.
"As Google develops BigQuery for their premium customers, they're looking to ensure integrations with business intelligence tools like Tableau that enable analysis of tons of data in an intuitive interface," Bellin said.
