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Data volume is exploding and outpacing current analysis tools. Structured data volume is exploding and outpacing current analysis tools. Worldwide structured datasets are growing 800% over the next 5 years. Organizations that can harness the untapped power of very large datasets, at scale and at speed, stand to gain tremendous advantages.

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Redefining Big Data Current Big Data technologies are built for organizations with datasets measured in terabytes. Ocient’s focus is on much larger datasets — measured in tens of terabytes, petabytes, or exabytes — with trillions or quadrillions of rows. Redefining fast Current Big Data platforms do not offer satisfactory ingress or query processing speeds for such datasets. We’re focused on ingressing billions of rows per second, and filtering and computing aggregate results at rates up to trillions of rows per second. Our game-changing approach Ocient has rethought the entire architecture of data analysis systems based upon modern high-performance, low-cost hardware in a massively parallel architecture with Speed at Scale as our focus. Using Traditional ANSI SQL While Ocient has rethought every aspect of the database, we did not change the interface methods. We support standard ANSI SQL including aggregates, joins and count distinct through our JDBC, ODBC, and Spark connectors. Ocient We enable rapid analysis and management of the world’s largest datasets. Joe Jablonski, Co-Founder and Chief Product Officer