James Curtis is a senior research analyst at S&P Global Market Intelligence, leading the database and data platforms vertical within the Data, AI & Analytics channel. Previously, he covered business intelligence, analytics and reporting, along with machine learning and data science. James’ current areas of concentration include database and related technology analysis, real-time analytics, cloud computing and cloud-native technologies for database as a service, database optimization tooling, generative AI and retrieval augment generation (RAG) environments, including vector stores and semantic search. James arrived at S&P Global Market Intelligence through its 2019 acquisition of 451 Research, which he joined in 2015. Prior to 451 Research, he held several senior roles in technology, marketing and communications. He served as VP of a large BPO firm where he oversaw marketing for analytic solutions. He held senior technical marketing roles at Netezza and later at IBM with responsibility for data warehousing, analytics and big-data products. He has managed global programs at HPE and worked as a case editor at Harvard Business School. James holds a bachelor's degree in English from Utah State University, a master's degree in writing from Northeastern University in Boston and an MBA from Texas A&M University.
The startup recently unveiled its initial database gateway offering, a product that functions as a query translation layer between an application and a database. Despite application and database differences, Quesma wants to enable any organization's application to query any database.
In a bid to bolster the output from retrieval augmented generation, MongoDB has acquired Voyage AI, an AI-focused startup that specializes in developing embedded and reranking models. The deal suggests — at least in part — that RAG has not produced the accuracy many enterprises have come to expect.
This startup is tackling database administration, but is incorporating GenAI tools, specifically a conversational "teammate" that helps organizations efficiently manage their PostgreSQL database environment. More than a chatbot, the company's offering sits between a co-pilot and an AI agent.
The company is rebranding, putting TiDB as its front-facing moniker. It has found that TiDB, its distributed SQL database, has stronger brand recognition in the US and Asia-Pacific than the PingCAP name. It continues to feature TiDB as a MySQL-compliant database for SaaS applications.
A database warehouse built on PostgreSQL is as surprising as it is remarkable, given that PostgreSQL is architected to run operational workloads predominantly. While Crunchy Data Warehouse is full PostgreSQL throughout for look and feel, the database underneath has been modified such that it can process analytical workloads.
The company has been on a development tear, adding native support for analytics on operational JSON data, a suite of embedded AI services ranging from preparing unstructured data to managing agents, and a collection of new developer tools.
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