Microsoft expands Excel Copilot with custom Skills, FactSet and Morningstar connectors, planning mode, and improved ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

On June 24, 2026, Microsoft’s Digital Crimes Unit (DCU) facilitated the takedown, suspension, and blocking of domains that ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on every ...

Spine Toolbox is released under the GNU Lesser General Public License (LGPL) license. All accompanying documentation, original graphics and other material are released under the Creative Commons BY-SA ...

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...

Server Manager is a Windows tool that allows you and other IT professionals to manage local and remote Windows-based servers from your desktops without accessing the servers or connecting to the ...

Zoho has unveiled its first-ever locally designed server called Nathu La, marking the enterprise software giant’s foray into the data hardware market amid a growing focus on tech sovereignty in India.

We discuss some of the best database tools for DevOps developers and DevOps engineers. Learn DevOps database software. Database DevOps tools can help developers automate and orchestrate database ...

GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...

Modern open-source big data platforms help businesses manage scalable data pipelines, automate analytics workflows, and improve operational efficiency across cloud environments, machine learning ...

Open source BI adoption in 2026 is driven less by cost savings and more by the need for data ownership, deployment control, and the flexibility to integrate AI workflows without vendor dependency.