Independent research to help you evaluate, plan, and build with confidence.
OpenSearch Named a Leader in the GigaOm Radar™ for Vector Databases
The GigaOM Radar evaluates and compares leading vector database platforms across key criteria including performance, scalability, and ecosystem maturity.
OpenSearch earned top scores in:
- Search variety – with support for semantic, hybrid, neural sparse, conversational, and agentic search across on-premises, hybrid, and multicloud environments
- Business criteria – tied for the highest average business criteria score in the report at 4.4 out of 5
- Security – rated Superior across access controls and enterprise-grade data protectio
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GigaOM CIO Decision Brief – Vector Databases
GigaOm analyst Howard Holton delivers a practical framework for CIOs evaluating vector database adoption, covering business case, organizational impact, deployment timelines, and investment outlook.
OpenSearch is recognized as a compelling choice for enterprise AI workloads.
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From Lexical to Semantic: How Vector Databases Enhance Enterprise Search
This special report from 451 Research (S&P Global) breaks down the shift from keyword to hybrid and vector search, with market data, forecasts through 2030, and an analysis of what enterprises need to build AI-ready data architectures.
