Pub/Sub for AI: The New Requirements for Real-Time Data
Blog post from Harper
Harper presents a transformative approach to real-time data architecture, essential for AI systems that require rapid decision-making and seamless operation across varied environments, from cloud to edge. Traditional architectures, which rely on a patchwork of MQTT brokers, message queues, and databases, introduce latency and complexity, particularly in unstable network conditions. Harper addresses these challenges by integrating pub/sub, MQTT, WebSockets, SSE, storage, replication, and vector search directly within the database, creating a unified platform for AI. This architecture allows for low-latency event processing, durable state feeding models, and reliable replication in 50–100 milliseconds. It supports multiple protocols and ensures consistent behavior regardless of deployment environment, thereby bypassing the risks associated with cloud service deprecations and network inconsistencies. Harper’s design simplifies operational complexity, offering a reliable, scalable, and portable solution that aligns with the demands of modern AI applications, enabling organizations to build responsive, intelligent systems without the burden of conventional infrastructure.
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