For years systems like databases and search were designed around human interaction… but with the rise of agents that model starts to break down. — Ash Ashutosh The transition to agent-centric systems ...

ScyllaDB today announced Vector Search for its DynamoDB-compatible API (Alternator). For the first time, developers building on the DynamoDB API can run high-performance vector similarity search ...

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the ...

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

SQL Server 2025 is introducing AI-native capabilities alongside new approaches for secure integration with large language models. Enterprises can now run local AI models such as Llama 3 via Ollama for ...

SQL Server, which you install and manage yourself, and Azure SQL, which Microsoft runs for you as a managed service. Both use the same underlying engine, so code and queries work the same way. The ...

We are looking for a Junior Data Scientist who doesn’t just "do data," but builds intelligent systems. In this role, you won't just be analyzing the past; you will be building the future of customer ...

The 2026 commissioned Forrester Consulting Total Economic Impact™ study conducted on behalf of Nutanix examines the financial ...

From AI-driven attacks to cutting-edge vector search capabilities, 2026 is redefining how we secure, optimize, and manage SQL databases. New SQL Server features, evolving threat landscapes, and modern ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...