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Kyoto Tycoon vs YugabyteDB

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Kyoto Tycoon
5
17
+ 1
5
YugabyteDB
50
112
+ 1
0
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Kyoto Tycoon vs YugabyteDB: What are the differences?

What is Kyoto Tycoon? 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.

What is YugabyteDB? High-performance, , cloud-native distributed SQL database. It is a high-performance distributed SQL database for powering global, internet-scale applications. Built using a unique combination of high-performance document store, per-shard distributed consensus replication and multi-shard ACID transactions.

Kyoto Tycoon can be classified as a tool in the "Databases" category, while YugabyteDB is grouped under "Search Engines".

YugabyteDB is an open source tool with 3.15K GitHub stars and 277 GitHub forks. Here's a link to YugabyteDB's open source repository on GitHub.

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Pros of Kyoto Tycoon
Pros of YugabyteDB
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    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup
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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 YugabyteDB?

    An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

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    What companies use Kyoto Tycoon?
    What companies use YugabyteDB?
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    What tools integrate with Kyoto Tycoon?
    What tools integrate with YugabyteDB?

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    What are some alternatives to Kyoto Tycoon and YugabyteDB?
    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.
    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
    See all alternatives

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