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First Hybrid Open-Source RDBMS Powered By Hadoop and Spark

Splice Machine is a novel attempt to merge the best parts of the traditional relational database management systems and their NoSQL counterparts with distributed and in-memory computing based on Hadoop and Spark.

Traditional RDBMS find it tough when faced with massive amounts of data, which they typically handle by scaling up, albeit expensively. Another side effect of the sheer volume of data accumulating from the likes of social media and mobile devices, is that OLTP and OLAP queries carry high performance hits that subsequently have detrimental effects on real time analysis and instant decision making.

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