James Curtis is a Senior Research Analyst for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. He has had experience covering the BI reporting and analytics sector and currently covers Hadoop, NoSQL and related analytic and operational database technologies.
James has over 20 years' experience in the IT and technology industry, serving in a number of senior roles in marketing and communications, touching a broad range of technologies. At iQor, he served as a VP for an upstart analytics group, overseeing marketing for custom, advanced analytic solutions. He also worked at Netezza and later at IBM, where he was a senior product marketing manager with responsibility for Hadoop and big data products. In addition, James has worked at Hewlett-Packard managing global programs and 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 company, which provides a MySQL-compatible, scalable platform built on the open-source Vitess database, is in the process of rolling out PlanetScale Boost, a new service that targets slow-running queries by rewriting the query execution plan, potentially giving the query a significant performance boost.
The company recently made generally available the ability to store and process vectors (or vector embeddings) inside Astra DB, its database-as-a-service offering. Vectors are quickly becoming known for augmenting generative AI applications, specifically LLMs. This release is part of a broader strategy for DataStax around addressing AI workloads.
The company mixed its Partner Forum with a dedicated analyst event where it not only clarified its broader strategy of relying on partners for its go-to-market approach, but also doubled down on its commitment to the cloud as the best path forward for customers to deploy its database analytics platform, VantageCloud.
This report and dataset from 451 Research's Data, AI & Analytics Market Monitor service provides an aggregated vendor landscape by segment and updated data platform market, segment and vendor estimates through Q2 2023. This report leverages 451 Research's deep knowledge of and relationships within the data platforms market, resulting in a proprietary forecast based on a bottom-up analysis of 144 vendors' current revenue and growth expectations through 2027.
This report and dataset from 451 Research's Data, AI & Analytics Market Monitor service provides an aggregated vendor landscape by segment and updated data platform market, segment and vendor estimates through Q2 2023. This report leverages 451 Research's deep knowledge of and relationships within the data platforms market, resulting in a proprietary forecast based on a bottom-up analysis of 144 vendors' current revenue and growth expectations through 2027.
Results from 451 Research's Voice of the Enterprise: Data & Analytics, Data Platforms & Real-Time Analytics 2023 reveal that data lakes and data lakehouses are becoming common deployment platforms for analytic workloads. Real-time processing is rising in adoption and piquing interest as enterprises realize the benefits of getting results quickly.
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