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Redis vs SummitDB: What are the differences?
What is Redis? An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
What is SummitDB? *In-Memory NoSQL DB *. SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.
Redis and SummitDB can be primarily classified as "In-Memory Databases" tools.
Redis and SummitDB are both open source tools. It seems that Redis with 37.4K GitHub stars and 14.4K forks on GitHub has more adoption than SummitDB with 1.22K GitHub stars and 69 GitHub forks.
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Learn MorePros of Redis
Pros of SummitDB
Pros of Redis
- Performance875
- Super fast535
- Ease of use511
- In-memory cache441
- Advanced key-value cache321
- Open source190
- Easy to deploy179
- Stable163
- Free152
- Fast120
- High-Performance40
- High Availability39
- Data Structures34
- Very Scalable32
- Replication23
- Great community20
- Pub/Sub19
- "NoSQL" key-value data store17
- Hashes14
- Sets12
- Sorted Sets10
- Lists9
- BSD licensed8
- NoSQL8
- Async replication7
- Integrates super easy with Sidekiq for Rails background7
- Bitmaps7
- Open Source6
- Keys with a limited time-to-live6
- Strings5
- Lua scripting5
- Awesomeness for Free!4
- Hyperloglogs4
- outstanding performance3
- Runs server side LUA3
- Networked3
- LRU eviction of keys3
- Written in ANSI C3
- Feature Rich3
- Transactions3
- Data structure server2
- Performance & ease of use2
- Existing Laravel Integration1
- Automatic failover1
- Easy to use1
- Object [key/value] size each 500 MB1
- Simple1
- Channels concept1
- Scalable1
- Temporarily kept on disk1
- Dont save data if no subscribers are found1
- Jk0
Pros of SummitDB
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Cons of Redis
Cons of SummitDB
Cons of Redis
- Cannot query objects directly14
- No secondary indexes for non-numeric data types2
- No WAL1
Cons of SummitDB
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- No public GitHub repository available -
What is Redis?
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
What is SummitDB?
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.
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What companies use Redis?
What companies use SummitDB?
What companies use SummitDB?
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What tools integrate with Redis?
What tools integrate with SummitDB?
What tools integrate with Redis?
What tools integrate with SummitDB?
No integrations found
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What are some alternatives to Redis and SummitDB?
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.