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KeyDB

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5
Redis

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3.9K
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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
  • 887
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
  • 194
    Open source
  • 182
    Easy to deploy
  • 165
    Stable
  • 156
    Free
  • 121
    Fast
  • 42
    High-Performance
  • 40
    High Availability
  • 35
    Data Structures
  • 32
    Very Scalable
  • 24
    Replication
  • 23
    Pub/Sub
  • 22
    Great community
  • 19
    "NoSQL" key-value data store
  • 16
    Hashes
  • 13
    Sets
  • 11
    Sorted Sets
  • 10
    Lists
  • 10
    NoSQL
  • 9
    Async replication
  • 9
    BSD licensed
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 8
    Bitmaps
  • 7
    Open Source
  • 7
    Keys with a limited time-to-live
  • 6
    Lua scripting
  • 6
    Strings
  • 5
    Awesomeness for Free
  • 5
    Hyperloglogs
  • 4
    Runs server side LUA
  • 4
    Transactions
  • 4
    Networked
  • 4
    Outstanding performance
  • 4
    Feature Rich
  • 4
    Written in ANSI C
  • 4
    LRU eviction of keys
  • 3
    Data structure server
  • 3
    Performance & ease of use
  • 2
    Temporarily kept on disk
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Scalable
  • 2
    Channels concept
  • 2
    Object [key/value] size each 500 MB
  • 2
    Existing Laravel Integration
  • 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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    - No public GitHub repository available -

    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 companies use KeyDB?
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    What tools integrate with KeyDB?
    What tools integrate with Redis?

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    What are some alternatives to KeyDB and Redis?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    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.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    GitHub Actions
    It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.
    See all alternatives