Data has grown exponentially with the advent of Big Data. Hence Data processing and storage is a big challenge. While regular data is stored in SMP architecture Big Data needs Hadoop cluster for storage and processing. SMP architecture cannot be used for Big Data processing because. If data is stored in the cluster but processed in SMP architecture, then the data has to be extracted over the network and then processed in SMP machines which becomes a bottleneck.
iCEDQ avoids network transport by pushing the execution into the Hadoop cluster Another problem is processing Big data in SMP arch has scalability issues because SMP may perform well for low volume data crashes at a tipping point when it comes to big data. iCEDQ uses Hadoop cluster for processing data thus it avoids the inevitable tipping point of SMP architecture and scales linearly. Automate your big data testing with Hadoop cluster.
With iCEDQ
• Use your existing Hadoop cluster and Save Money
• Get High Performance
• High Scalability
• Run in Cloud or on-premise Cluster For Scalability and Performance, Get iCEDQ's Big Data Edition Today!
