Beekeeper Studio vs. HeidiSQL vs. NoSQL vs. python-sql Comparison Chart

Encrypt your connection with SSL, or tunnel through SSH. Save a connection password and Beekeeper Studio will encrypt it. Our built-in editor provides syntax highlighting and auto-complete suggestions for your tables so you can work quickly and easily. Open dozens of tabs so you can work quickly without having to switch windows. Table DDL and data views get their own tabs too! Easily save and organize commonly used queries so you can use them again and again across all your connections. Beekeeper's SQL table creator lets you create, edit, and delete table columns in just a few clicks. Export a table to CSV, JSON, JSONL, or SQL with just a few clicks. Optionally apply filters to export only the data you need.

NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.