DBMS > MarkLogic vs. PostGIS vs. Realm vs. Sadas Engine

System Properties Comparison MarkLogic vs. PostGIS vs. Realm vs. Sadas Engine

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Editorial information provided by DB-Engines

Name

Description

Operational and transactional Enterprise NoSQL database

Spatial extension of PostgreSQL

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

Primary database model

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Spatial DBMS

Document store

Relational DBMS

Secondary database models

Relational DBMS

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

Score	6.50
Rank	#56	Overall
	#10	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#5	Search engines

Score	23.90
Rank	#29	Overall
	#1	Spatial DBMS

Score	7.71
Rank	#52	Overall
	#9	Document stores

Score	0.03
Rank	#379	Overall
	#156	Relational DBMS

Website

Technical documentation

docs.marklogic.com

postgis.net/documentation

realm.io/docs

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

Developer

MarkLogic Corp.

Realm, acquired by MongoDB in May 2019

SADAS s.r.l.

Initial release

2001

2005

2014

2006

Current release

11.0, December 2022

3.4.2, February 2024

8.0

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

GPL v2.0

Open Source

commercial

free trial version available

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++

Server operating systems

Linux
OS X
Windows

Android
Backend: server-less
iOS
Windows

AIX
Linux
Windows

Data scheme

schema-free

Schema can be enforced

yes

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

yes

SQL92

yes

APIs and other access methods

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

JDBC
ODBC
Proprietary protocol

Supported programming languages

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

.Net
Java

with Android only
Objective-C
React Native
Swift

.Net
C
C#
C++
Groovy
Java
PHP
Python

Server-side scripts

Stored procedures

yes

via XQuery or JavaScript

user defined functions

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

based on PostgreSQL

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on PostgreSQL

none

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

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, with Range Indexes

yes

In-Memory realm

yes

managed by 'Learn by Usage'

User concepts

Access control

Role-based access control at the document and subdocument levels

yes

based on PostgreSQL

yes

Access rights for users, groups and roles according to SQL-standard

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