View From the Top by Raj Verma CEO SingleStore
There’s an issue in the world of databases that’s slowing the progress of enterprise AI. Most infrastructures simply aren’t designed to handle the substantial complexities involved.
The enterprise data landscape is fragmented–scattered across different data types or pieced together in speciality systems. You have relational data in one place, JSON and semi-structured data in another, and logs and time-series elsewhere. You might have even added a vector database for embeddings. And all of this is piped into a data warehouse for analytics.
It’s an all-too-common scenario, and one with serious implications for enterprise AI, where the use cases are far more ambitious—and larger in scale. That’s why the most important decision you can make about enterprise AI isn’t which model to use—it’s which data layer is performant enough to power all these needs.
At SingleStore, we deliver the performance you need for enterprise AI, combining transactional (OLTP) and analytical (OLAP) processing, multi-model data support and real-time analytics all in one platform. Our “single store” means your agents retrieve the data they need in one shot, from one place, without losing context—a feature we call single-shot retrieval. Eliminating handoffs and conversions does wonders for accuracy and efficiency.
Enterprise AI represents a new way of working - one that begins with the right foundation. Choose your foundation wisely.
SingleStore
https://www.singlestore.com