When Key Value Databases Buckle Under the

Data processing speeds have a huge business impact on When Key Value  enterprises that require time-sensitive processes and applications. Whether organizations need analytics to optimize business operations ? track customer preferences and activities to provide timely ? targeted ? and personalized campaigns ? or comply with regulations ? performing at split-second speeds is an important competitive advantage.

This is where data infrastructure can directly impact success. Although When Key Value key-value databases retrieve data quickly for millions of simultaneous users by utilizing distributed processing and storage ? many applications that require complex queries over huge volumes of data can make key-value databases fall flat.

The Need for Online Speed and Scale

More and more transactions are moving online ? and queries telegram number database require faster response times to meet customer expectations and avoid abandoned sessions. In addition ? regulations are constantly changing and adding new restrictions and guidelines that require compliance.

An excellent example involves a leading car manufacturer. They were required to calculate C02 emissions at millisecond performance every time a price quote was requested ? whether it was by a customer online ? in a dealership ? or via a partner. Different features choose platforms carefully for new cars had a direct impact on projected C02 emissions ? so calculations had to be performed in real-time while customers selected car options online. Millisecond performance and accurate results were required to avoid fines of €100s of millions annually. An estimated 3 ?000 requests per second needed to be processed to support the volume from buyers.

Up until the requirement to implement

The C02 calculator ? this automobile manufacturer what germany cell number data leveraged a key-value database that performed adequately while executing data queries. However ? based on early trials ? computing the amount of C02 involved more complex queries ? which resulted in inadequate performance.

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