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  • 4.7 / 5.0 (4098)
    173+ References
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DBmaestro Case Studies

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  • Reference Rating
    4.7 / 5.0
    Customer References173 total
    About

    InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData customers include Autodesk, Cisco, eBay, and Coupa.

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    4.7 / 5.0
    Customer References176 total
    About

    DataStax powers the Right-Now Enterprise with the always-on, distributed cloud database, built on Apache Cassandra™ and designed for hybrid cloud. The foundation for real-time applications at massive scale, DataStax Enterprise makes it possible for companies to exceed expectations through consumer and enterprise applications that provide responsive and meaningful engagement to each customer wherever they go. Their product also gives businesses full data autonomy, allowing them to retain control and strategic ownership of their most valuable asset in a hybrid cloud world. DataStax helps more than 400 of the world’s leading brands like Capital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and Walmart transform their businesses through right-now applications focused on enterprise optimization and customer experience.

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    4.7 / 5.0
    Customer References122 total
    About

    Vertica is a Massively Parallel Processing (MPP) platform that distributes its workload over multiple commodity servers using a shared-nothing architecture. Vertica allows users to add User-Defined Extensions (UDxs), user-written code that runs inside of Vertica in parallel. Vertica user-defined code can be written in C, C+ declarative-SQL like code, or Java. Vertica enables the workload to run closer to the data and thus is significantly more efficient for execution. But, more importantly, it allows accessing all these extensions using the familiarity of the SQL language and all existing SQL-based tools.

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