GE deploys NoSQL for its Predix platform to help manage the Industrial Internet.newspaper publisher, uses NoSQL for its proprietary content management system, Presto Marriott deploys NoSQL for its reservation system that books $38 billion annually.1 retailer, deploys NoSQL for e-commerce, product catalog, and other applications Global 2000 enterprises are rapidly embracing NoSQL databases to power their mission-critical applications: Relational databases are unable to meet these new requirements, and enterprises are therefore turning to NoSQL database technology. The new enterprise NoSQL technology architecture needs to be far more agile than ever before, and requires an approach to real-time data management that can accommodate unprecedented levels of scale, speed, and data variability. Rapidly adapt to changing requirements with frequent updates and new featuresīuilding and running these massively interactive applications has created a new set of technology requirements. Deliver highly responsive experiences to a globally distributed base of users. Support large numbers of concurrent users (tens of thousands, perhaps millions).How are these applications different from legacy enterprise applications like ERP, HR, and financial accounting? Today’s web, mobile, and IoT applications share one or more (if not all) of the following characteristics. This interaction is powered by the internet and other 21st century technologies – and at the heart of the revolution of NoSQL are a company’s big data, cloud, mobile, social media, and IoT applications. As part of this revolution, enterprises are interacting digitally – not only with their customers, but also with their employees, partners, vendors, and even their products – at an unprecedented scale. Graph databases are useful for identifying patterns in unstructured and semi-structured information.Ĭustomer experience has quickly become the most important competitive differentiator and ushered the business world into an era of monumental change. Graph databases use graph structures to define the relationships between stored data points.Like key-value stores, wide-column databases have some basic NoSQL structure while also preserving a lot of flexibility Wide-column databases use the tabular format of relational databases yet allow a wide variance in how data is named and formatted in each row, even in the same table.Key-value stores have just enough structure to mirror the value of relational databases (as opposed to non-relational databases) while still preserving the benefits of the NoSQL database structure.
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