GridGain

GridGain

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GRIDGAIN- An Open Source In-memory Computing Tool



GridGain’s open source software provides immediate, unhindered freedom to develop with the most mature, complete and tested in-memory computing platform on the market, enabling computation and transactions orders of magnitude faster than traditional technologies allow. From high performance computing, streaming and data grid to an industry first in-memory Hadoop accelerator, GridGain provides a complete end-to-end stack for low-latency, high performance computing for each and every category of payload and data processing requirements.



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  • Built over the MapReduce data analysis and sorting model, GridGain Big Data is designed to work in computing-intensive environments, where computations are performed on a series of distributed computers or servers. GridGain Big Data is generally integrated between a business intelligence (BI) solution and relational database management system (RDBMS) software. When a query is passed to GridGain Big Data, the task is portioned and executed on GridGain nodes and reassembled and delivered to the requesting app.

    GridGain Big Data is a Java-based and open-source middleware solution that enables real-time big data analysis on a distributed computing architecture. It is used to evaluate data that resides or is processed in real-time on a server or virtual machine memory.

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[profiler]
Memory usage: real: 29097984, emalloc: 28752912
Code ProfilerTimeCntEmallocRealMem