Explore the leading data orchestration platforms for 2026 with quick comparisons, practical selection tips, and implementation guidance to keep your data pipelines reliable and scalable.

Overview: Modern .NET productivity depends on libraries enabling resilience, observability, messaging, and clean architectural separation at scale.High-performa ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

Abstract: We propose a 400 Gbps optical engine based on through-glass-via (TGV) interposers. By integrating TGV interposer, radio frequency loss is minimized in high-frequency region and optical ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production pipelines, analysts say.

New Analyst Studio capabilities-including SpotCache and agent-augmented data modeling-transform how data teams profile, mash up, and secure data for the next generation of AI workloadsMOUNTAIN VIEW, ...

Alibaba launches Qwen3.5, a 397B-parameter AI model built for agents, claiming 60% lower costs, 8x throughput, and expanded ...

Over 260,000 users installed fake AI Chrome extensions that used iframe injection to steal browser and Gmail data, exposing ...

See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...