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Search results for 'cross tool'
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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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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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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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RATTLE
RATTLE - An Open Source Data Mining Tool
Togaware developed an Open Source Data Mining Tool called RATTLE that presents statistical and visual summaries of data, transforms data into forms that can be readily modeled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets.
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Keel
Keel– An Open Source Data Mining Tool
Keel is an open Source Data Mining Tool used to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering and pattern mining. It also allows us to perform a complete analysis of any learning model in comparison to existing ones, including a statistical test module for comparison.
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