What is Sequel?
It is a simple, flexible, and powerful SQL database access toolkit for Ruby. It includes a comprehensive ORM layer for mapping records to Ruby objects and handling associated records.
Sequel is a tool in the Database Tools category of a tech stack.
Sequel is an open source tool with 5K GitHub stars and 1.1K GitHub forks. Here’s a link to Sequel's open source repository on GitHub
Who uses Sequel?
Companies
Developers
20 developers on StackShare have stated that they use Sequel.
Sequel Integrations
MySQL, PostgreSQL, Ruby, Microsoft SQL Server, and SQLite are some of the popular tools that integrate with Sequel. Here's a list of all 7 tools that integrate with Sequel.
Sequel's Features
- Provides thread safety, connection pooling and a concise DSL for constructing SQL queries and table schemas.
- Supports advanced database features such as prepared statements, bound variables, stored procedures, savepoints, two-phase commit, transaction isolation, primary/replica configurations, and database sharding
- Includes a comprehensive ORM layer for mapping records to Ruby objects and handling associated records
- Currently has adapters for ADO, Amalgalite, IBM_DB, JDBC, MySQL, Mysql2, ODBC, Oracle, PostgreSQL, SQLAnywhere, SQLite3, and TinyTDS
Sequel Alternatives & Comparisons
What are some alternatives to Sequel?
Marvel
A super simple tool that turns any image (including PSDs) or sketch into interactive prototypes for any device.
Powered by Dropbox.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
