| MemSQL is the distributed in-memory database that provides real time analytic on Big Data. MemSQL can be used to get the real time analytic data, get response on terabytes of data in milliseconds, query the data using traditional SQL and load CSV format files into the database while growing incrementally as your demand grows. MemSQL has added JSON support to its core in-memory database platform making it usable for both structured and unstructured data. Views can be created to access both structured and unstructured data so that it is easier for the data scientists to pull the data as they get generated. Volume, Variety and Velocity are the three known characteristics of Big Data. As structured and unstructured data comes very quickly with lots of volume, the Big Data platform should load the data faster and then batch processing should be done swiftly. But real time data analytic can not wait for such an elapsed time from data generation to data driven analytic decision so MemSQL bridges that gap. MemSQL can: Capture real-time data feeds (clicks, ticks, impressions, etc.). Store historical data in memory for ultra-fast access. Compare real-time and historical data to spot market trends. MemSQL uses a patent […] | |
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Real Time Analytic Database MemSQL adds JSON support
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