Beyond Traditional Architecture: Meeting New Demands in the Age of AI
It is no secret that demand for real-time applications and analytics is increasing across industries and verticals. Generative AI has created new challenges and opportunities, particularly for database management systems — leading businesses and developers to create applications that not only harness the power of AI but also deliver seamless real-time experiences to users.
To take on these challenges, businesses need a data architecture that allows them to transact with and reason on data with high fidelity — without data movement — on any cloud with millisecond response times. And, this should all be done using SQL while accommodating a wide range of data types including relational, geospatial, JSON, time-series, key-value, and vector data.