The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...
Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...
For most teams migrating an existing SQL Server estate, Azure SQL Managed Instance is the easiest starting point. It keeps the SQL Server feel, including SQL Agent and linked servers, while removing ...
DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...
Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...
Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...
You don't need to fear imported spreadsheets anymore.
AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise data. In this episode of DEMO, Keith Shaw speaks with Mike Albritton, Senior ...
Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...
Overview:  Discover powerful Plotly Studio alternatives that transform complex data into meaningful insights across ...
Structured data capture in Revvity Signals One turns lab data into searchable, auditable records for real-time analytics and ...
What starts as simple number tracking gradually becomes a journey into logic, visualization, automation, and data ...