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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Cassandra vs Kyoto Tycoon vs RethinkDB

Cassandra vs Kyoto Tycoon vs RethinkDB

OverviewComparisonAlternatives

Overview

RethinkDB
RethinkDB
Stacks292
Followers406
Votes307
GitHub Stars27.0K
Forks1.9K
Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Kyoto Tycoon
Kyoto Tycoon
Stacks3
Followers17
Votes5

Cassandra vs Kyoto Tycoon vs RethinkDB: What are the differences?

  1. Data Model: Cassandra is a distributed wide-column store NoSQL database, while Kyoto Tycoon is a lightweight key-value store with a focus on high performance, and RethinkDB is a distributed document-oriented database.
  2. Consistency Model: Cassandra offers tunable consistency levels from strong consistency to eventual consistency, Kyoto Tycoon provides eventual consistency, and RethinkDB ensures strong consistency.
  3. Query Language: Cassandra uses CQL (Cassandra Query Language), Kyoto Tycoon uses LUA scripts for queries, and RethinkDB has its query language called ReQL (RethinkDB Query Language).
  4. Scalability: Cassandra is known for its linear horizontal scalability across multiple nodes, Kyoto Tycoon is designed for small to medium-scale applications, and RethinkDB supports linear scalability as well but is often considered more beginner-friendly in terms of deployment.
  5. Community Support: Cassandra has a solid and large community backing due to its popularity, Kyoto Tycoon has a smaller community but is actively maintained, and RethinkDB, even after being open-sourced, has a smaller community compared to Cassandra.
  6. Backup and Recovery: Cassandra offers backup and recovery features through snapshots and incremental backups, while Kyoto Tycoon provides basic backup utilities, and RethinkDB has built-in automated backups and point-in-time recovery capabilities.

In Summary, Cassandra, Kyoto Tycoon, and RethinkDB have key differences in data model, consistency model, query language, scalability, community support, and backup and recovery features.

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Detailed Comparison

RethinkDB
RethinkDB
Cassandra
Cassandra
Kyoto Tycoon
Kyoto Tycoon

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.

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.

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.

JSON data model and immediate consistency.;Distributed joins, subqueries, aggregation, atomic updates.;Secondary, compound, and arbitrarily computed indexes.;Hadoop-style map/reduce.;Friendly web and command-line administration tools.;Takes care of machine failures and network interrupts.;Multi-datacenter replication and failover.;Sharding and replication to multiple nodes.;Queries are automatically parallelized and distributed.;Lock-free operation via MVCC concurrency.
--
Statistics
GitHub Stars
27.0K
GitHub Stars
9.5K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
3.8K
GitHub Forks
-
Stacks
292
Stacks
3.6K
Stacks
3
Followers
406
Followers
3.5K
Followers
17
Votes
307
Votes
507
Votes
5
Pros & Cons
Pros
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
Pros
  • 2
    RESTful API
  • 2
    Simple, persistent Key-Value Store
  • 1
    Easy setup
Integrations
Amazon EC2
Amazon EC2
No integrations availableNo integrations available

What are some alternatives to RethinkDB, Cassandra, Kyoto Tycoon?

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.

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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