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    Augmenting Hadoop with MemSQL for Faster Analytics at a Fortune 50 Company
    A Fortune 50 company tried traditional SQL databases, then Hadoop, to manage financial updates company-wide. They finally found a successful solution by augmenting Hadoop with MemSQL. Many companies today are straining to meet the needs for faster ad hoc analytics, dashboards, reporting, and support for modern applications that depend on fast access to the latest data – in particular, financial data. Facing competitive and customer pressures, IT organizations must respond to a rapid increase in the volume of incoming data and the needs of the business to use this data for rapid decision-making, improving operations, and providing better customer experiences. … …
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    What is Time Series Data?
    Time series data is as old as databases themselves – and also the hot new thing. Interest in the topic has more than doubled during this decade. In this blog post, we’ll explain what time series data is, why there’s an increasing focus on it, and how MemSQL handles it. In a companion blog post, we explain the considerations that go into choosing a time series database. Time series data is at the core of the Internet of Things, with frequent sensor readings coming in from all sorts of devices. But what is time series data? We provide a brief … …
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    Choosing a Time Series Database
    Time series data is as old as databases themselves – and also the hot new thing. Interest in the topic has more than doubled during this decade. In a previous blog post, we described how time series data is used and stored. In this blog post, we look at the desirable characteristics of a time series database and evaluate our own database, MemSQL, against those requirements. Time series data is more and more widely used. Part of the growth comes from the fact that time series data is at the core of the Internet of Things, with frequent sensor readings … …
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As every customer’s application and queries are unique, MemSQL can not guarantee that a customer will achieve these results at all times. Actual MemSQL performance results will vary and depend upon a variety of conditions, some of which are beyond the control of MemSQL. Variable conditions include ingest speeds, size and type of workload, hardware and software environment, and query shape. To understand the precise performance of MemSQL for your specific application, please contact us to schedule a direct comparison.
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