Personal Information
Organización/Lugar de trabajo
San Francisco Bay Area, California United States
Sector
Technology / Software / Internet
Sitio web
www.gridgain.com
Acerca de
Developed the technology since 2005, started the company in 2010, and raised $13M total VC to sustain the growth since.
In-memory computing is proving to be the most effective, and increasingly the only way, to deliver on the promise of internet scale and big data. That's because in-memory computing uses RAM rather than disk for storage. And RAM is conservatively 5,000 times faster than disk. By moving all of your data from disk into RAM, things get really, really fast. But what if you lose power? Isn't all the data in RAM lost? Not with today's modern in-memory data grid technology. GridGain's solutions are proven across a wide range of mission critical, high availability applications...
Etiquetas
gridgain
grid
bigdata
in-memory
scala
hadoop
mapreduce
fp
java
Ver más
Presentaciones
(2)Documentos
(3)Personal Information
Organización/Lugar de trabajo
San Francisco Bay Area, California United States
Sector
Technology / Software / Internet
Sitio web
www.gridgain.com
Acerca de
Developed the technology since 2005, started the company in 2010, and raised $13M total VC to sustain the growth since.
In-memory computing is proving to be the most effective, and increasingly the only way, to deliver on the promise of internet scale and big data. That's because in-memory computing uses RAM rather than disk for storage. And RAM is conservatively 5,000 times faster than disk. By moving all of your data from disk into RAM, things get really, really fast. But what if you lose power? Isn't all the data in RAM lost? Not with today's modern in-memory data grid technology. GridGain's solutions are proven across a wide range of mission critical, high availability applications...
Etiquetas
gridgain
grid
bigdata
in-memory
scala
hadoop
mapreduce
fp
java
Ver más