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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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Learn MorePros of Redis
Pros of Sequel Pro
Pros of Redis
- Performance886
- Super fast542
- Ease of use513
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable164
- Free155
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Great community22
- Pub/Sub22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- NoSQL10
- Lists10
- Async replication9
- BSD licensed9
- Bitmaps8
- Integrates super easy with Sidekiq for Rails background8
- Keys with a limited time-to-live7
- Open Source7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Transactions4
- Outstanding performance4
- Runs server side LUA4
- LRU eviction of keys4
- Feature Rich4
- Written in ANSI C4
- Networked4
- Data structure server3
- Performance & ease of use3
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Temporarily kept on disk2
- Scalable2
- Existing Laravel Integration2
- Channels concept2
- Object [key/value] size each 500 MB2
- Simple2
Pros of Sequel Pro
- Free25
- Simple18
- Clean UI17
- Easy8
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Cons of Redis
Cons of Sequel Pro
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1
Cons of Sequel Pro
- Only available for Mac OS1
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- No public GitHub repository available -
What is Redis?
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.
What is Sequel Pro?
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
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What companies use Redis?
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What tools integrate with Redis?
What tools integrate with Sequel Pro?
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What are some alternatives to Redis and Sequel Pro?
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
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.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.