DBMS > Kingbase vs. MarkLogic vs. Memcached

System Properties Comparison Kingbase vs. MarkLogic vs. Memcached

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Editorial information provided by DB-Engines

Name

Description

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

Operational and transactional Enterprise NoSQL database

In-memory key-value store, originally intended for caching

Primary database model

Relational DBMS

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	0.49
Rank	#246	Overall
	#115	Relational DBMS

Score	3.95
Rank	#67	Overall
	#11	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#8	Search engines

Score	16.60
Rank	#34	Overall
	#4	Key-value stores

Website

www.kingbase.com.cn

www.progress.com/marklogic

www.memcached.org

Technical documentation

www.progress.com/marklogic/documentation

github.com/memcached/memcached/wiki

Developer

BeiJing KINGBASE Information technologies inc.

MarkLogic Corp.

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Initial release

1999

2001

2003

Current release

V8.0, August 2021

11.0, December 2022

1.6.29, June 2024

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

BSD license

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and Java

C++

Server operating systems

Linux
Windows

Linux
OS X
Windows

FreeBSD
Linux
OS X
Unix
Windows

Data scheme

yes

schema-free

Schema can be enforced

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Standard with numerous extensions

yes

SQL92

APIs and other access methods

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

Java API
Node.js Client API
ODBC
proprietary Optic API

Proprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT

Proprietary protocol

Supported programming languages

.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

via XQuery or JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Repcached, a Memcached patch, provides this functionallity

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs

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

ACID

can act as a resource manager in an XA/JTA transaction

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, with Range Indexes

User concepts

Access control

fine grained access rights according to SQL-standard

Role-based access control at the document and subdocument levels

yes

using SASL (Simple Authentication and Security Layer) protocol

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More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

Made in China 2025 is back, with a new name and a focus on database companies
19 December 2022, The China Project

provided by Google News

Progress Brings Industry Leaders Together to Share Insights on AI and Data at MarkLogic World Tour US 2024
18 September 2024, GlobeNewswire

Progress Brings Industry Leaders Together to Share Insights on AI and Data at MarkLogic World Tour US 2024
18 September 2024, StockTitan

Progress launches MarkLogic Server 12 with new AI capabilities
9 September 2024, IT Brief Australia

AI can make logistics data as valuable as intelligence or operational data for mission success
17 April 2024, Breaking Defense

Metadata Management Matters, Progress To Acquire MarkLogic
4 January 2023, Forbes

provided by Google News

Using memcached with Python
22 October 2024, Packt

Cache vs. Database: Has Performance Converged?
6 November 2024, The New Stack

Use Memcached for Java enterprise performance, Part 1: Architecture and setup
9 July 2024, InfoWorld

AMD Ryzen 5 9600X & Ryzen 7 9700X Offer Excellent Linux Performance
7 August 2024, Phoronix

Building a Global Caching System at Netflix: a Deep Dive to Global Replication
11 October 2024, InfoQ.com

provided by Google News

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