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KeyDB

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KeyDB vs Redis: What are the differences?

KeyDB and Redis are both in-memory data stores known for their performance and scalability. Here are the key differences between the two:

  1. Replication Models: KeyDB and Redis use different replication models. Redis uses a single-threaded replication model where a single process handles all requests, while KeyDB uses a multi-threaded replication model where multiple threads can handle concurrent requests. This allows KeyDB to handle higher loads and distribute the workload more efficiently.

  2. Write Amplification: KeyDB provides significant improvements in write performance compared to Redis. It achieves this by reducing write amplification, which means that fewer write operations are required when updating data. This allows KeyDB to handle a higher rate of write operations with less impact on performance.

  3. Advanced Data Structures: KeyDB provides additional data structures beyond what Redis offers. While Redis supports key-value pairs, lists, sets, and hashes, KeyDB introduces new data structures like sorted sets and fixed-size lists. These additional data structures offer more flexibility in organizing and manipulating data.

  4. Optimized Storage Model: KeyDB provides an optimized storage model that reduces memory consumption compared to Redis. KeyDB employs a hashed key indexing approach and compresses data when it exceeds a certain threshold. This optimization allows for efficient memory utilization, making KeyDB suitable for applications with limited memory resources.

  5. Faster Redis Protocol Compatibility: KeyDB is designed to be fully compatible with the Redis protocol, but also offers performance enhancements. KeyDB can handle higher request rates and has minimal latency compared to Redis, making it an ideal choice for applications that require high throughput and low latency.

  6. Active-Active Replication: KeyDB introduces active-active replication, allowing data to be synchronized between multiple KeyDB instances. This provides high availability and fault tolerance, ensuring that data remains consistent across different instances. Redis, on the other hand, supports active-passive replication where one node acts as the primary and the others as backups.

In summary, KeyDB and Redis are both in-memory databases, with KeyDB being a high-performance, multithreaded fork of Redis. While Redis is a widely adopted and established solution, KeyDB differentiates itself by optimizing for multithreading, offering improved performance and scalability in scenarios with high concurrency.

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Pros of KeyDB
Pros of Redis
  • 3
    Performance
  • 2
    Active Replication
  • 886
    Performance
  • 542
    Super fast
  • 513
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
  • 194
    Open source
  • 182
    Easy to deploy
  • 164
    Stable
  • 155
    Free
  • 121
    Fast
  • 42
    High-Performance
  • 40
    High Availability
  • 35
    Data Structures
  • 32
    Very Scalable
  • 24
    Replication
  • 22
    Great community
  • 22
    Pub/Sub
  • 19
    "NoSQL" key-value data store
  • 16
    Hashes
  • 13
    Sets
  • 11
    Sorted Sets
  • 10
    NoSQL
  • 10
    Lists
  • 9
    Async replication
  • 9
    BSD licensed
  • 8
    Bitmaps
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 7
    Keys with a limited time-to-live
  • 7
    Open Source
  • 6
    Lua scripting
  • 6
    Strings
  • 5
    Awesomeness for Free
  • 5
    Hyperloglogs
  • 4
    Transactions
  • 4
    Outstanding performance
  • 4
    Runs server side LUA
  • 4
    LRU eviction of keys
  • 4
    Feature Rich
  • 4
    Written in ANSI C
  • 4
    Networked
  • 3
    Data structure server
  • 3
    Performance & ease of use
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Temporarily kept on disk
  • 2
    Scalable
  • 2
    Existing Laravel Integration
  • 2
    Channels concept
  • 2
    Object [key/value] size each 500 MB
  • 2
    Simple

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Cons of KeyDB
Cons of Redis
    Be the first to leave a con
    • 15
      Cannot query objects directly
    • 3
      No secondary indexes for non-numeric data types
    • 1
      No WAL

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    What is KeyDB?

    KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

    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.

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    What are some alternatives to KeyDB and Redis?
    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.
    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.
    SAP HANA
    It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
    NCache
    NCache is an open source distributed cache for .NET & .NET Core (Apache 2.0) by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips.
    Apache Ignite
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