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Kyoto Tycoon

5
17
+ 1
5
Memcached

6.7K
4.9K
+ 1
470
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Kyoto Tycoon vs Memcached: What are the differences?

Developers describe Kyoto Tycoon as "A handy cache/storage server". Kyoto Tycoon is a lightweight database server with auto expiration mechanism, which is useful to handle cache data and persistent data of various applications. Kyoto Tycoon is also a package of network interface to the DBM called Kyoto Cabinet. On the other hand, Memcached is detailed as "High-performance, distributed memory object caching system". 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.

Kyoto Tycoon and Memcached belong to "Databases" category of the tech stack.

Memcached is an open source tool with 8.93K GitHub stars and 2.6K GitHub forks. Here's a link to Memcached's open source repository on GitHub.

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Pros of Kyoto Tycoon
Pros of Memcached
  • 2
    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup
  • 138
    Fast object cache
  • 128
    High-performance
  • 90
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta

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Cons of Kyoto Tycoon
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    - No public GitHub repository available -

    What is Kyoto Tycoon?

    Kyoto Tycoon is a lightweight database server with auto expiration mechanism, which is useful to handle cache data and persistent data of various applications. Kyoto Tycoon is also a package of network interface to the DBM called Kyoto Cabinet.

    What is 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.

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    What tools integrate with Kyoto Tycoon?
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    What are some alternatives to Kyoto Tycoon and Memcached?
    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.
    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.
    Microsoft SQL Server
    Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
    See all alternatives