Welcome to the NuoDB Corporate Blog

  • Arthur Cole

    When it comes to addressing modern data requirements, elastic scale is a primary concern. If the database cannot scale to the required level, it doesn’t matter how advanced the algorithms are or how robust the underlying infrastructure. With both virtualization and the cloud now in play, however, scalability is invariably tied to distributed architectures and is usually addressed with a variety of sharding and/or partitioning schemes. While these approaches have so far proven effective at maintaining speed and agility of scale-out workloads, there is still a danger that once things get really large they will start to falter.

  • Arthur Cole

    The more the enterprise turns to the cloud in support of expanding workloads, the more complex it becomes. The cloud’s chief advantage over traditional infrastructure, after all, is the ease at which resources can be provisioned for any task. But problems arise when this is done on a piecemeal basis, most commonly when business units and even individuals take it upon themselves to build their own clouds with no thought to how they will integrate with either legacy infrastructure or the clouds that their colleagues are provisioning.

  • Barry Morris

    Gartner has just issued a new report, “Critical Capabilities for Operational Database Management Systems” that re-emphasizes the convergence of the database market, in part due to the rise of distributed use cases through scale-out architectures and the impact of the cloud. This report assesses 20 vendors across nine capabilities and weights them across four popular use cases: Traditional Transactions, Distributed Variable Data, Lightweight Events and Observations, and HTAP. I’m excited that not only did NuoDB receive the highest score (a 4.35 out of 5) of all vendors for the Distributed Variable Data use case, we ranked in the top four for the other three use cases as well…

  • Barry Morris

    Recently, we’ve noticed growing recognition of the need for a database system that can handle the mission-critical workloads (requiring both SQL capabilities and ACID compliance) typically assigned to relational database management systems (RDBMSs), but can simultaneously support today’s cloud-based, on-demand economy.

    Well apparently we weren’t the only ones to notice.

    This week, Gartner released a new report, “When to Use New RDBMS Offerings in a Dynamic Data Environment.

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