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A big data framework (like Hadoop) for private and public clouds1-10 Employees
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A big data framework (like Hadoop) for private and public clouds
{m}brace is a software framework for developing big data algorithms that will execute on a private or public cloud. It is similar to Hadoop in functionality but its main difference is that it is not confined to the map-reduce programming paradigm.

{m}brace is taking care of all things that have to do with task orchestration and data flow between computer nodes, allowing the user to deal just with the algorithm that he wants to execute. It can be utilized in various business and research sectors like Stock market and finance.
Moreover, it abstracts the underlying cloud infrastructure which means that any code developed using {m}brace can either run on a private or a public cloud that is supported.

{m}brace is also providing the {m}brace shell where someone can delve into REPL style programming which enables fast code prototyping in a cloud scale. Moreover it enables you to monitor your computer nodes, deploy new code and get information about the jobs that are currently executing.
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NPAL
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Pantelis Petrogiannakis
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As technical director,he has assisted the implementation of projects such as development tools,workflows,toll systems,media distribution, GIS, rule compliance
Jan Dzik
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Eirik
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George Stavroulakis
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Executive consultant at Nessos I.T. and research associate at the NTUA. Active in product management and finite element solvers in HPC and GPGPUs.
Total raised

$500K

Funded over

1 round

Latest round

Seed (Jun 2013)

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