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HarperDB vs Kyoto Tycoon

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HarperDB
5
17
+ 1
9
Kyoto Tycoon
5
17
+ 1
5
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HarperDB vs Kyoto Tycoon: What are the differences?

What is HarperDB? IoT Database that runs from the edge to the cloud. HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

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.

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

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Pros of HarperDB
Pros of Kyoto Tycoon
  • 2
    Data api
  • 1
    Custom Functions
  • 1
    Edge capabilities
  • 1
    Cost efficient
  • 1
    Integration
  • 1
    Flexibility
  • 1
    Performance
  • 1
    Distribution capabilities
  • 2
    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup

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What is HarperDB?

With flexible user-defined APIs, simple HTTP/s interface, and a high-performance single-model data store that accommodates both NoSQL and SQL workloads, HarperDB scales with your application from proof of concept to production.

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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Jobs that mention HarperDB and Kyoto Tycoon as a desired skillset
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What companies use HarperDB?
What companies use Kyoto Tycoon?
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What tools integrate with HarperDB?
What tools integrate with Kyoto Tycoon?

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What are some alternatives to HarperDB and Kyoto Tycoon?
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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.
See all alternatives

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