Redis vs Sequel Pro

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

Sequel Pro

Stacks316

Followers366

Votes68

GitHub Stars9.2K

Forks838

Redis vs Sequel Pro: What are the differences?

Storage Type: Redis is an in-memory database system, meaning all the data is stored in RAM for faster access, while Sequel Pro stores data on disk, which can be slower in comparison to in-memory storage.
Data Structure: Redis supports various data structures like strings, lists, sets, hash, etc., making it suitable for caching and real-time data processing, whereas Sequel Pro adheres to the relational database model with tables, rows, and columns for structured data storage.
Primary Use Case: Redis is mainly utilized for caching, session management, real-time analytics, and messaging applications where fast read/write operations are crucial, while Sequel Pro is predominantly used for relational database management, querying, and data visualization tasks.
Clustering: Redis supports clustering, allowing multiple nodes to be connected to form a distributed system for high availability and scalability, whereas Sequel Pro does not have native clustering capabilities.
Language Support: Redis has client libraries available for various programming languages like Python, Java, Node.js, etc., enabling developers to interact with Redis using their preferred language, whereas Sequel Pro is a standalone tool primarily used for MySQL databases.
Community Support: Redis has a large and active open-source community that continually contributes to its development and maintenance, providing support through forums, documentation, and resources, while Sequel Pro has a smaller community focused on MySQL-related discussions and troubleshooting.

In Summary, Redis and Sequel Pro differ in storage type, data structures, primary use cases, clustering capabilities, language support, and community engagement.

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CLI (Node.js)

Manual

Detailed Comparison

Redis	Sequel Pro
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.	Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
-	Quickly filter and paginate table content;Fast, threaded UI;Document based connections — Save your connection and share it;Use windows or tabs — whichever works best for you;Navigator for connecting to servers and constructing queries
Statistics
GitHub Stars 42	GitHub Stars 9.2K
GitHub Forks 6	GitHub Forks 838
Stacks 61.9K	Stacks 316
Followers 46.5K	Followers 366
Votes 3.9K	Votes 68
Pros & Cons
Pros 888 Performance 542 Super fast 514 Ease of use 444 In-memory cache 324 Advanced key-value cache Cons 15 Cannot query objects directly 3 No secondary indexes for non-numeric data types 1 No WAL	Pros 25 Free 18 Simple 17 Clean UI 8 Easy Cons 1 Only available for Mac OS
Integrations
No integrations available	MySQL

What are some alternatives to Redis, Sequel Pro?

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

Related Comparisons

Redis vs Sequel Pro: What are the differences?

Storage Type: Redis is an in-memory database system, meaning all the data is stored in RAM for faster access, while Sequel Pro stores data on disk, which can be slower in comparison to in-memory storage.
Data Structure: Redis supports various data structures like strings, lists, sets, hash, etc., making it suitable for caching and real-time data processing, whereas Sequel Pro adheres to the relational database model with tables, rows, and columns for structured data storage.
Primary Use Case: Redis is mainly utilized for caching, session management, real-time analytics, and messaging applications where fast read/write operations are crucial, while Sequel Pro is predominantly used for relational database management, querying, and data visualization tasks.
Clustering: Redis supports clustering, allowing multiple nodes to be connected to form a distributed system for high availability and scalability, whereas Sequel Pro does not have native clustering capabilities.
Language Support: Redis has client libraries available for various programming languages like Python, Java, Node.js, etc., enabling developers to interact with Redis using their preferred language, whereas Sequel Pro is a standalone tool primarily used for MySQL databases.
Community Support: Redis has a large and active open-source community that continually contributes to its development and maintenance, providing support through forums, documentation, and resources, while Sequel Pro has a smaller community focused on MySQL-related discussions and troubleshooting.

In Summary, Redis and Sequel Pro differ in storage type, data structures, primary use cases, clustering capabilities, language support, and community engagement.

Redis vs Sequel Pro

Overview