Qdrant has closed a Series B and launched a public beta of edge-based vector search, signaling a structural shift away from PGVector and Lucene-based extensions. ECI Research examines what the enterprise migration wave means for ITDMs navigating data sovereignty requirements and developers building agentic AI applications at scale.
Qdrant Series B: The Case for Production Vector Search | ECI Research Read More »
Qdrant has announced three enterprise capabilities for Qdrant Cloud: GPU-accelerated HNSW indexing, Multi-AZ cluster replication, and audit logging. The release addresses the three core procurement questions enterprise teams ask before deploying vector search in production. ECI Research analysts assess what this means for ITDMs, developers, and the competitive landscape.
Qdrant Cloud Adds GPU Indexing, Multi-AZ, and Audit Logging Read More »
Qdrant earns spots on the CB Insights AI 100 and wins the 2025 AI TechAward, highlighting its innovation and impact in scalable vector search for real-time AI, RAG, and recommendation systems.
Qdrant Wins Industry Awards for Innovation in AI and Vector Search Read More »