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CrateIO

19
39
+ 1
7
Kyoto Tycoon

5
17
+ 1
5
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CrateIO vs Kyoto Tycoon: What are the differences?

Developers describe CrateIO as "The Distributed Database for Docker". Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets. On the other hand, Kyoto Tycoon is detailed 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.

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

CrateIO is an open source tool with 2.49K GitHub stars and 333 GitHub forks. Here's a link to CrateIO's open source repository on GitHub.

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Pros of CrateIO
Pros of Kyoto Tycoon
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 2
    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup

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- No public GitHub repository available -

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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.

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What companies use CrateIO?
What companies use Kyoto Tycoon?
    No companies found
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    What tools integrate with CrateIO?
    What tools integrate with Kyoto Tycoon?
    What are some alternatives to CrateIO and Kyoto Tycoon?
    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.
    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.
    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