vector search

MariaDB 12.3 LTS: AI Workloads, 4x Write Speed, and What It Means for Enterprise Data

MariaDB 12.3 LTS: AI Workloads, 4x Write Speed, and What It Means for Enterprise Data

AI, Application Development, Data Management, Open Source /

MariaDB Community Server 12.3 LTS consolidates a year of rolling releases into a production-ready platform with 4x write performance, native vector search for AI workloads, and enhanced Oracle migration compatibility. ECI Research analysts examine the competitive implications, infrastructure economics, and what enterprise teams should do next. Coverage spans both ITDM and developer perspectives.

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Valkey 9.1: Open Source Database Eyes AI Workloads

Valkey 9.1: Open Source Database Eyes AI Workloads

AI, Application Development, Cloud-Native, DevSecOps, FinOps, Open Source, Open Source Summit 2026 /

Valkey 9.1 expands beyond caching with full-text and vector search, per-database access controls, and multithreading improvements. The Linux Foundation project is positioning itself as a consolidated in-memory data platform for AI and modernization workloads. ECI Research examines the competitive implications and what the Valkey 10 roadmap signals for enterprise infrastructure strategy.

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Qdrant Cloud Adds GPU Indexing, Multi-AZ, and Audit Logging

Qdrant Cloud Adds GPU Indexing, Multi-AZ, and Audit Logging

AI, Application Development, Cloud, Enterprise Software /

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.

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SurrealDB Bets Agent Memory Belongs in the Database, Not the Middleware

SurrealDB Bets Agent Memory Belongs in the Database, Not the Middleware

AI, Application Development, Cloud-Native, Data Management, KubeCon + CloudNativeCon EU 2026, Open Source, Software Development /

SurrealDB 3.0 positions itself as a unified multi-model database for agentic AI, combining vector, graph, and relational capabilities in a single engine to reduce architectural complexity and support transactional AI workloads.

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