In a recent talk at Cypher 2023, George Kuruvilla of SingleStore delved into the challenges and opportunities that organizations face in the age of AI. He emphasized the need for real-time data processing and analytics, highlighting how SingleStore's unique architecture addresses these needs.
The Problem with Traditional Databases
George began by discussing the limitations of traditional databases, which are either optimized for transactional (OLTP) or analytical (OLAP) workloads but not both. This dichotomy often leads to complex, costly, and inefficient data architectures. Companies end up using multiple databases like MySQL, Redis, Elasticsearch, and Snowflake, each serving a specific need but complicating the overall infrastructure.
The SingleStore Solution
SingleStore aims
Meeting New Demands in the Age of AI: A Deep Dive into SingleStore’s Capabilities
- By 理想
- Published on
SingleStore is revolutionizing real-time data processing and analytics, offering a unified solution for the challenges of the AI age.
