DBMS > Alibaba Cloud Table Store vs. RocksDB vs. Tkrzw

System Properties Comparison Alibaba Cloud Table Store vs. RocksDB 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

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

Key-value store

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

Score	0.27
Rank	#353	Overall
	#12	Wide column stores

Score	4.27
Rank	#92	Overall
	#15	Key-value stores

Score	0.00
Rank	#403	Overall
	#65	Key-value stores

Website

www.alibabacloud.com/product/table-store

rocksdb.org

dbmx.net/tkrzw

Technical documentation

www.alibabacloud.com/help/product/27278.htm

github.com/facebook/rocksdb/wiki

Developer

Alibaba

Facebook, Inc.

Mikio Hirabayashi

Initial release

2016

2013

2020

Current release

7.10.2, March 2023

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

BSD

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

hosted

Linux

Linux
macOS

Data scheme

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

SQL

Support of SQL

APIs and other access methods

HTTP API

C++ API
Java API

Supported programming languages

Java
Python

C
C++
Go
Java
Perl
Python
Ruby

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic single-row operations

yes

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

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