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  1. Stackups
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  4. Databases
  5. Kyoto Tycoon vs Tibero

Kyoto Tycoon vs Tibero

OverviewDecisionsComparisonAlternatives

Overview

Kyoto Tycoon
Kyoto Tycoon
Stacks3
Followers17
Votes5
Tibero
Tibero
Stacks10
Followers17
Votes11

Kyoto Tycoon vs Tibero: 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 Tibero? Enterprise RDBMS of choice for the virtual data center. It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.

Kyoto Tycoon and Tibero can be primarily classified as "Databases" tools.

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Advice on Kyoto Tycoon, Tibero

Daniel
Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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Detailed Comparison

Kyoto Tycoon
Kyoto Tycoon
Tibero
Tibero

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.

It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.

-
Highly compatible with Oracle – in some cases as much as 97% compatibility; High availability (Active-Active clustering); Simple licensing model similar to SaaS subscription pricing; High performance transaction processing; Scales with commodity hardware rather than expensive proprietary database servers; Active or passive standby database capability; Hyper-thread architecture; High security database encryption; Multi-node parallel recovery; Reliable shared server; Tibero Enterprise Edition is all inclusive, with no additional products to purchase
Statistics
Stacks
3
Stacks
10
Followers
17
Followers
17
Votes
5
Votes
11
Pros & Cons
Pros
  • 2
    Simple, persistent Key-Value Store
  • 2
    RESTful API
  • 1
    Easy setup
Pros
  • 1
    High availability (Active-Active clustering)
  • 1
    Simple Licensing model
  • 1
    Lower TCO
  • 1
    High performance transaction processing
  • 1
    Active or passive standby DB capability
Integrations
No integrations available
Oracle
Oracle

What are some alternatives to Kyoto Tycoon, Tibero?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

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.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

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.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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