DBMS > Alibaba Cloud Table Store vs. CockroachDB vs. OushuDB vs. Tkrzw

System Properties Comparison Alibaba Cloud Table Store vs. CockroachDB vs. OushuDB vs. Tkrzw

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Wide column store

Relational DBMS

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.25
Rank	#294	Overall
	#12	Wide column stores

Score	4.74
Rank	#67	Overall
	#36	Relational DBMS

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	0.00
Rank	#385	Overall
	#61	Key-value stores

Website

www.alibabacloud.com/product/table-store

www.cockroachlabs.com

www.oushu.com/product/oushuDB

dbmx.net/tkrzw

Technical documentation

www.alibabacloud.com/help/en/tablestore

www.cockroachlabs.com/docs

www.oushu.com/documentation

Developer

Alibaba

Cockroach Labs

Oushu

Mikio Hirabayashi

Initial release

2016

2015

2020

Current release

24.1.0, May 2024

4.0.1, August 2020

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache 2.0, commercial license available

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

hosted

Linux
macOS
Windows

Linux

Linux
macOS

Data scheme

schema-free

dynamic schema

yes

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes, wire compatible with PostgreSQL

Full-featured ANSI SQL support

APIs and other access methods

HTTP API

JDBC

JDBC
ODBC

Supported programming languages

Java
Python

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

C
C++

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication using RAFT

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using specific database classes

User concepts

Access control

Access rights based on subaccounts and tokens

Role-based access control

Kerberos, SSL and role based access

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