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SQL Notebook is a free Windows application for querying and analyzing data across multiple sources, including SQLite, PostgreSQL, Excel, and CSV files. It combines a SQL editor with a notebook interface, allowing for data exploration, transformation, and visualization in one place. SQL Notebook is ideal for analysts and data enthusiasts.

DBeaver is a free, multi-platform database tool that supports any database having a JDBC driver. It is useful for developers, SQL programmers, database administrators and analysts. DBeaver comes with plenty of great features such as metadata and SQL editors, ERD, data export/import/migration and more. Plugins are available for certain databases, and there are also several database management utilities. DBeaver’s Enterprise Edition provides even more features and supports non-JDBC datasources.

SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple...

1.SQL Compare Compare and synchronize SQL Server database schemas effortlessly. 2.SQL Data Compare Identify and sync data differences between SQL Server databases. 3.Folder to SQL Compare Compare SQL script folders with live SQL Server databases. 4.SQL Trace / SQL Profiler (Azure Supported) Capture, trace, and analyze SQL Server events and performance — includes Azure SQL support. 5.SQL Table Documents Generate structured documentation for SQL Server table schemas. 6.SQL...

Records is a Python library designed to make direct SQL querying convenient without introducing a full object-relational mapper. It supports relational databases including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, and Amazon Redshift through SQLAlchemy. Query results are exposed as friendly Record objects whose fields can be accessed by attribute, key, or numeric index. Queries support safe parameterization, SQL files, transactions, and bulk operations. Result collections can...