Business Description

purpose database. Built on our unique document-based architecture, our database is designed to handle unstructured data and meet the needs of organizations for performance, scalability, flexibility and reliability while maintaining the strengths of relational databases.Every software application requires a database to store, organize and process data. Large organizations can have tens of thousands of applications and associated databases. A database directly impacts an application's performance, scalability, flexibility and reliability. As a result, selecting a database is a highly strategic decision that directly affects developer productivity, application performance and organizational competitiveness. The global database market is dominated by legacy relational databases, which were first developed in the 1970s. Their underlying architecture remains largely unchanged even though the nature of applications, how they are deployed and their role in business has evolved dramatically. Modern software development is highly iterative and requires flexibility. Relational databases were not built to support the volume, variety and speed of data being generated today, hindering application performance and developer productivity. In a relational database environment, developers are often required to spend significant time fixing and maintaining the linkages between modern applications and the rigid database structures that are inherent in relational offerings. Further, relational databases were built before cloud computing and were not designed for “always-on” globally distributed deployments. These factors have left developers and their organizations in need of more agile and effective database alternatives. A number of non-relational database alternatives have attempted to address the limitations of relational databases, but they have not achieved widespread developer mindshare and marketplace adoption due to technical trade-offs in their product architectures and the resulting compromises developers are required to make in application development. Our database combines the best of both relational and non-relational databases. We believe our core platform differentiation is driven by our ability to address the needs of organizations for performance, scalability, flexibility and reliability while maintaining the strengths of relational databases. Our document-based architecture enables developers to manage data more naturally, making it easy and intuitive for developers to rapidly and cost-effectively build, modernize, deploy and maintain applications, thereby increasing the pace of innovation within an organization. Customers can run our database in any environment, depending on their operational requirements: fully managed as a service or self-managed in the cloud, on-premises or in a hybrid environment. In 2023, generative artificial intelligence (“AI”) emerged as a significant technology trend. Generative AI is the process of generating original content by using foundation models (“FMs”), which are trained on large amounts of generally available data. Organizations of all sizes are looking at how to use their proprietary data in concert with FMs to drive better, AI-powered experiences for their customers. Organizations need a modern database to securely build, deploy, and scale generative AI applications. AI-driven workloads require the underlying database to be capable of processing queries against rich and complex data structures quickly and efficiently. Our flexible document model is uniquely positioned to help customers build sophisticated AI applications because it is designed to handle different data types (source data, vector data, metadata and generated data) right alongside live operational data, negating the need for multiple database systems and complex back-end architectures. In addition to the database offering, our developer data platform includes additional capabilities that allow developers to address a broader range of application requirements. Our platform’s integrated capabilities allow organizations to reduce the need for disparate, single-purpose data technologies, thereby lowering the cost and complexity of their application infrastructure. These complementary capabilities of our platform include: • Search. Extends the developer interface for working with the database to seamlessly implement relevance-based search operations, simplifying the development of rich search experiences in applications.…