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Kyoto Tycoon vs ToroDB

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Kyoto Tycoon
5
17
+ 1
5
ToroDB
0
7
+ 1
0
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Kyoto Tycoon vs ToroDB: 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 ToroDB? Open source, document-oriented, JSON database that runs on top of PostgreSQL. ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

Kyoto Tycoon and ToroDB can be categorized as "Databases" tools.

ToroDB is an open source tool with 10 GitHub stars and 2 GitHub forks. Here's a link to ToroDB's open source repository on GitHub.

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Pros of Kyoto Tycoon
Pros of ToroDB
  • 2
    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 ToroDB?

    ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

    Need advice about which tool to choose?Ask the StackShare community!

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    What companies use Kyoto Tycoon?
    What companies use ToroDB?
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      What tools integrate with Kyoto Tycoon?
      What tools integrate with ToroDB?
      What are some alternatives to Kyoto Tycoon and ToroDB?
      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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