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  1. Pylot

    Pylot

    Pylot - Open Source Software testing tool

    Pylot is a open source performance and scalability testing tool which runs HTTP load tests and generates concurrent load (HTTP Requests), verifies server responses, and produces reports with metrics.

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  2. Apache Spark

    Apache Spark

    Apache Spark – An Open Source Big Data Tool

    The Apache Spark is an open source system for fast and flexible large-scale data analysis. These include interactive exploration of very large datasets, near real-time stream processing, and ad-hoc SQL analytics. It is an extremely fast cluster computing system that can run data in memory. The main advantage of Apache Spark is that it runs 100 times faster than Hadoop Map reduce

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  3. Hazelcast

    Hazelcast

    Hazelcast– An Open Source In-memory Computing Tool

    Hazelcast, an open source clustering and highly scalable data distribution platform written in Java, focuses on latency and makes it easier to cache/share/operate TB's of data in-memory. Storing terabytes of data in-memory is not a problem but avoiding GC to achieve predictable, low latency and being resilient to crashes are big challenges. By default, Hazelcast stores your distributed data (map entries, queue items) into Java heap which is subject to garbage collection. As your heap gets bigger, garbage collection might cause your application to pause tens of seconds, badly affecting your application performance and response times. Elastic Memory is Hazelcast with off-heap memory storage to avoid GC pauses. Even if you have terabytes of cache in-memory with lots of updates, GC will have almost no effect; resulting in more predictable latency and throughput. 

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  4. GridGain

    GridGain

    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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  5. Gora

    Gora

    GORA – An Open Source In-memory Computing Tool

    The Apache Gora is an open source framework which provides an in-memory data model and persistence for big data. Gora supports persisting to column stores, key value stores, document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce support.

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[profiler]
Memory usage: real: 22544384, emalloc: 22290680
Code ProfilerTimeCntEmallocRealMem