Generative AI: Near-Term and Long-Term Implications for Databases

Generative AI: Near-Term and Long-Term Implications for Databases


This IDC study looks at the adoption of generative AI technology in the structured database industry and its impact on the market and users. It includes six vendor examples of this technology adoption and offers advice for both vendors and users in this area."The promise of generative AI combined with well-managed structured data environments is that of nontechnical users have free direct access to a broad range of data once only accessible by data professionals," says Carl Olofson, research vice president for Data Management Software Research at IDC. "The true power of this new technology has yet to be fully realized, but in order to get there in a way that is uniformly safe and productive, planning and effort, including building taxonomies and data definitions, must be done."

Please Note: Extended description available upon request.


IDC Opinion
In This Study
Situation Overview
Introduction
AWS
Google
Vertex AI
Model Garden
Duet AI
PaLM
Cloud Data Fusion
Snowflake
Snowflake Cortex
DataStax
Astra DB Vector
MongoDB
MongoDB Atlas Vector Search
Oracle
AI Vector Search
Autonomous Database Select AI
Trusted Data Fabric for AI
AI for APEX
Future Outlook
Essential Guidance
Learn More
Related Research
Synopsis

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