Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Couchbase AI launches its AI Data Plane to transform the AI database market with Agent Memory, unified data access, and edge ...

The new engine could let enterprises retain more telemetry data for compliance and incident response at lower cost, although migration work and missing query support may slow adoption, analysts say.

Anthropic PBC is releasing new software aimed at helping scientists automate research, in the hopes of reducing some of the ...

Tiger Data, the team behind TimescaleDB and over a decade of Postgres engineering serving thousands of customers worldwide, today announced the general availability of Ghost, a database service ...

Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...

Flatiron Telescope uses AI and transparent SQL to turn real-world evidence into quick turnaround oncology research and ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

MongoDB believes the next wave of enterprise AI will be driven by better retrieval, lower latency, and greater deployment flexibility ...