Operational Database Management Systems
Q1. You called your recent product launch ‘SingleStore Pro Max’… Talk to us about why you chose this name? In the 2000s, smartphones emerged. They eliminated the complexity of having to lug around multiple...
The new Cardinal Search Engine for Zilliz Cloud delivers a 10x+ Performance Boost January 30, 2024 09:00 ET| Source: Zilliz Inc. REDWOOD CITY, Calif., Jan. 30, 2024 (GLOBE NEWSWIRE) — Zilliz Inc., a trailblazer in...
As an engineering leader at multiple SaaS companies, I have seen firsthand the benefits of effectively integrating data science and machine learning (ML) into our operational processes. Q1. You are Vice President of Engineering...
Q1 What are the main problems most organizations face when managing applications and data across multiple clouds and on-premises? There are two main problems organizations face when managing applications and data across multiple clouds...
Time Series Database Systems (TSDBs) are specialized database systems designed to efficiently manage high-frequencytime series data. Unlike relational database systems, TSDBs rely on the general assumption that queries do not target individual tuples but summarized entries in a time...
” A data fabric is an architectural pattern that strives to create consistency among all data and metadata in an organization to make data easy to find, access, and use. A data fabric can be a...
Growing up on a farm influenced my passion for science and ultimate career path. I’m a scientist at heart and have always liked data and facts and being objective. Great science is what motivates...
Q1. What were in your opinion the main trends for the database in 2023? At the end of 2022 and the beginning of 2023, I noticed several interesting trends happening in the database ecosystem....
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
Q1. What is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a method that combines the capabilities of generative models, like LLMs, with information retrieval techniques. In a RAG system, when presented with...