Brian Bulkowski, CTO and Founder of Aerospike joined John Furrier in theCUBE’s ongoing coverage of Hadoop Summit 2013. The three discuss Aerospike’s speed and advantages.
Bulkowski explains that Aerospike allows users to optimize their use of Flash, pushing it to its limit without getting bottlenecked on CPU. He notes that Aerospike is the fastest solution for harnessing storm Storm, a processing system and an API. The company currently has two customers, 1 in China and 1 in the U.S. that use Aerospike to get fast realtime analytics for advertising.
Bulkowski notes that with Trident you need a storage device underneath it that can keep track of what message has been delivered at what phase. Another route do processing is with Kafka, but Aerospike prefers Trident. He adds, “We’re the only database that runs at Storm speed so if you want to do 10 million messages a second, the answer is in-memory data processing with Flash.”
Furrier inquires, “What other options are out there?” Bulkowski notes that there are companies exploring ways that you can build queries and have streaming queries. Bulkowski believes “streaming is the next Hadoop and the next metaphor that will drive big data forward.” He also explains that Storm involves writing code that is executed as opposed to having to write queries and provides a higher level of parallelism.
Bulkowski suggests new technology trends can give companies data sources they have never seen before. He suggests corporations, like those involved in merchant risk, have not fully used the technologies of big data. More specifically, he notes they “Haven’t made use of the data that’s now available and the technologies that are now available. They need to buy and sell at a bigger velocity to get access to data.”
Furrier asks, “What of the old [tech trends] is popping it’s head up that is relevant right now? Bulkowski says, “We are seeing the ability to have a centralized data source to bring together and work with legacy data sources.” In the future, he suggests, customers will be able to do more over this diverse set of query options.
@thecube
#hadoopsummit
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Brian Bulkowski - Hadoop Summit 2013 - theCUBE - #HadoopSummit
Brian Bulkowski, CTO and Founder of Aerospike joined John Furrier in theCUBE’s ongoing coverage of Hadoop Summit 2013. The three discuss Aerospike’s speed and advantages.
Bulkowski explains that Aerospike allows users to optimize their use of Flash, pushing it to its limit without getting bottlenecked on CPU. He notes that Aerospike is the fastest solution for harnessing storm Storm, a processing system and an API. The company currently has two customers, 1 in China and 1 in the U.S. that use Aerospike to get fast realtime analytics for advertising.
Bulkowski notes that with Trident you need a storage device underneath it that can keep track of what message has been delivered at what phase. Another route do processing is with Kafka, but Aerospike prefers Trident. He adds, “We’re the only database that runs at Storm speed so if you want to do 10 million messages a second, the answer is in-memory data processing with Flash.”
Furrier inquires, “What other options are out there?” Bulkowski notes that there are companies exploring ways that you can build queries and have streaming queries. Bulkowski believes “streaming is the next Hadoop and the next metaphor that will drive big data forward.” He also explains that Storm involves writing code that is executed as opposed to having to write queries and provides a higher level of parallelism.
Bulkowski suggests new technology trends can give companies data sources they have never seen before. He suggests corporations, like those involved in merchant risk, have not fully used the technologies of big data. More specifically, he notes they “Haven’t made use of the data that’s now available and the technologies that are now available. They need to buy and sell at a bigger velocity to get access to data.”
Furrier asks, “What of the old [tech trends] is popping it’s head up that is relevant right now? Bulkowski says, “We are seeing the ability to have a centralized data source to bring together and work with legacy data sources.” In the future, he suggests, customers will be able to do more over this diverse set of query options.
@thecube
#hadoopsummit
