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Redis vs Riak: What are the differences?
Introduction
Redis and Riak are both NoSQL databases that are highly scalable and provide high availability. However, they have several key differences that set them apart from each other.
Data Model: Redis is primarily a key-value store where the value can be a variety of data structures such as strings, hashes, lists, sets, and sorted sets. Riak, on the other hand, is a document-oriented database that stores JSON documents.
Consistency and Availability: Redis is designed to prioritize consistency and availability, allowing for strong consistency and high availability. Riak, on the other hand, prioritizes availability over consistency, offering only eventual consistency and extreme availability.
Data Replication: Redis supports both master-slave and master-master replication, where data can be replicated to multiple nodes for improved availability and performance. Riak, on the other hand, uses a multi-master replication model, allowing all nodes to accept writes and propagate updates across the cluster in a decentralized manner.
Partition Tolerance: Redis relies on a single server node for both reads and writes, making it less tolerant to network partitioning. Riak, on the other hand, has built-in partition tolerance, allowing it to continue functioning even in the presence of network partitions and node failures.
Querying and Secondary Indexing: Redis provides limited querying capabilities but does not support secondary indexing out of the box. Riak, on the other hand, provides a powerful querying language and supports secondary indexing, allowing for more complex and flexible data retrieval.
Data Durability: Redis, by default, does not guarantee persistence, and data can be lost in the event of a crash or power failure. Riak, on the other hand, offers configurable durability options, allowing data to be written to disk or stored in multiple replicas to ensure its safety.
Summary
Redis and Riak differ in their data models, consistency and availability guarantees, data replication methods, partition tolerance, querying capabilities, and data durability.
Pros of Redis
- Performance887
- Super fast542
- Ease of use514
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable165
- Free156
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Pub/Sub23
- Great community22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- Lists10
- NoSQL10
- Async replication9
- BSD licensed9
- Integrates super easy with Sidekiq for Rails background8
- Bitmaps8
- Open Source7
- Keys with a limited time-to-live7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Runs server side LUA4
- Transactions4
- Networked4
- Outstanding performance4
- Feature Rich4
- Written in ANSI C4
- LRU eviction of keys4
- Data structure server3
- Performance & ease of use3
- Temporarily kept on disk2
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Scalable2
- Channels concept2
- Object [key/value] size each 500 MB2
- Existing Laravel Integration2
- Simple2
Pros of Riak
- High Performance14
- High Availability11
- Easy Scalability9
- Flexible5
- Strong Consistency1
- Eventual Consistency1
- Distributed1
- Multi datacenter deployments1
- Reliable1
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Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1