mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and ...

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or ...

SQL Server 2022 introduces CE feedback, which, based on the data collected in the query store, learns which CE model assumptions are valid over time for your queries.

So what enables all this work to take place? One of the central elements is Structured Query Language, or SQL, which has just turned fifty years old. The original SQL paper was first published in ...

You can use SQL to create, modify, search, and display database information. Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements.

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.

In fact, several of the graph database players are of long lineage. Neo4j has vigorously encouraged other companies to use its query language, Cypher, via the openCypher project.

Get started with BigQuery for content analysis using Google Search Console data. Tips, tricks, best practices, and queries are provided.