Page 3 of 3
Because of the sheer amount of data, along with the difficulties of collecting and analyzing it, Oracle playing a major role in this market makes sense, Dyke said. However, he said, there are a lot of alternatives, and it is important to see how they differ.
"Oracle sometimes makes announcements in a vacuum," he said. "I'd like to see Thomas [Kurian] show how Oracle compares with what others do. It would help me validate what Thomas says, and let me see if this is a big deal or not."
Dyke said it is important that Oracle starts making clear comparisons between its big data offerings and those of its competitors.
"Don't just show me in and of itself," he said. "If I buy a car, don't just tell me how good the car is. I want to drive it, and go across the street and try another."
For Oracle OpenWorld, Kurian stayed focused on the Oracle message.
Kurian said Oracle solutions handle both structured data through its database and analytics technologies, and unstructured data either directly or by transforming it into structured data.
Customers with experience with structured data but not unstructured data can analyze their unstructured data in four different ways with Oracle technology, Kurian said.
First, they can run software like Hadoop together with MapReduce.
Second, he said, they can stream data from Hadoop to the Oracle SQL engine where it can be handled using standard SQL commands. "This opens Hadoop to everyone who knows SQL," he said.
Customers also can use the Oracle R application for statistical analysis of big data, or use the Oracle Business Intelligence Foundation to do search and discovery on the data, he said.
In addition, customers can use Oracle's engineered systems to improve Hadoop performance, Kurian said. For instance, the company's Big Data Appliance combines its Exadata database system with Hadoop to provide high-performance Hadoop processing with quick deployment and a fast 15 TBs-per-hour loading of Hadoop data to Oracle, he said.
Customers also can run SQL or R in the Exadata system, Kurian said. "These are two important ways to open the big data in your infrastructure with the tools you are already familiar with," he said.
PUBLISHED ON SEPT. 24, 2013