vector search

Couchbase AI Data Plane: Cutting Agent Costs at Scale

Couchbase AI Data Plane: Cutting Agent Costs at Scale

Couchbase has expanded its AI Data Plane with native Amazon Bedrock integration, managed Agent Memory, and vector search in Operational Insights. The company targets the fragmented data stacks slowing enterprise AI agent deployments, claiming token cost reductions of 33–45% and LLM call reductions of 40–60%. For ITDMs and developers alike, the convergence argument is as much about compliance surface area and developer velocity as it is about infrastructure economics.

Couchbase AI Data Plane: Cutting Agent Costs at Scale Read More »

OpenSearch Agentic AI: Memory, Context, and the Maturity Gap

OpenSearch Agentic AI: Memory, Context, and the Maturity Gap

OpenSearch is positioning its index layer as native memory for AI agents, a technically significant claim that collapses retrieval and context into a single infrastructure layer. But the bigger story is the industry-wide maturity gap between AI deployment and AI fluency. ECI Research breaks down what it means for ITDMs and developers alike.

OpenSearch Agentic AI: Memory, Context, and the Maturity Gap Read More »

Elastic Q1 FY2027: AI Search, MCP, and Air-Gap Expansion

Elastic Q1 FY2027: AI Search, MCP, and Air-Gap Expansion

Elastic’s Q1 FY2027 results show 21% cRPO growth alongside a wave of AI-focused product moves, including an OpenAI collaboration, MCP-embedded observability tools, and a new push into air-gapped government environments. The quarter signals a deliberate shift from search vendor to AI infrastructure platform. ECI Research analysis examines what it means for enterprise buyers and developers.

Elastic Q1 FY2027: AI Search, MCP, and Air-Gap Expansion Read More »

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

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.

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

Valkey 9.1: Open Source Database Eyes AI Workloads

Valkey 9.1: Open Source Database Eyes AI Workloads

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.

Valkey 9.1: Open Source Database Eyes AI Workloads Read More »

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

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

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 »

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

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

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.

SurrealDB Bets Agent Memory Belongs in the Database, Not the Middleware Read More »