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A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure...

Cloud SQL Proxy is a secure connectivity utility that enables applications to connect to Google Cloud SQL instances without requiring manual configuration of SSL certificates or network access rules. It works by establishing an encrypted connection between the client and the Cloud SQL instance using TLS and authenticating requests through Google Cloud IAM, ensuring that only authorized users or services can access the database. The proxy runs locally or alongside applications, exposing a...

PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to...

DBLens for MySQL 是一款专为现代企业和开发者设计的革命性MySQL数据库管理工具。它不仅继承了传统数据库管理工具的强大功能，还集成了先进的人工智能技术，为您带来前所未有的数据库图形界面体验。 DBLens for MySQL is a revolutionary MySQL database management tool designed specifically for modern enterprises and developers. It not only inherits the powerful functions of traditional database management tools, but also integrates advanced artificial intelligence technology to bring you an unprecedented database GUI experience.

cstore_fdw is a columnar store extension for PostgreSQL built by Citus Data using the Foreign Data Wrapper (FDW) interface. It stores data in a compressed, columnar format that significantly reduces disk I/O for analytical queries. Ideal for read-heavy workloads and time-series data, cstore_fdw enhances Postgres’ ability to serve as a lightweight data warehouse.