DBMS > MarkLogic vs. Microsoft SQL Server vs. Valentina Server

System Properties Comparison MarkLogic vs. Microsoft SQL Server vs. Valentina Server

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Editorial information provided by DB-Engines

Name

Description

Operational and transactional Enterprise NoSQL database

Microsofts flagship relational DBMS

Object-relational database and reports server

Primary database model

Document store
Native XML DBMS
RDF store

as of version 7
Search engine

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	9.62
Rank	#52	Overall
	#10	Document stores
	#1	Native XML DBMS
	#1	RDF stores
	#4	Search engines

Score	944.96
Rank	#3	Overall
	#3	Relational DBMS

Score	0.24
Rank	#282	Overall
	#134	Relational DBMS

Website

www.marklogic.com

www.microsoft.com/en-us/sql-server

www.valentina-db.net

Technical documentation

docs.marklogic.com

docs.microsoft.com/en-US/sql/sql-server

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

MarkLogic Corp.

Microsoft

Paradigma Software

Initial release

2001

1989

1999

Current release

9.0, 2017

SQL Server 2019, November 2019

5.7.5

License

Commercial or Open Source

commercial

restricted free version is available

commercial

restricted free version is available

commercial

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

Linux
Windows

Linux
OS X
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

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

ODBC

Supported programming languages

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

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

via XQuery or JavaScript

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

tables can be distributed across several files (horizontal partitioning); sharding through federation

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, but depending on the SQL-Server Edition

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

User concepts

Access control

Role-based access control at the document and subdocument levels

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

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Recent citations in the news

MarkLogic Named to KMWorld AI 50 List
25 July 2022, Business Wire

Hadoop Big Data Analytics Market is Set To Fly High in Years to Come
5 August 2022, openPR

Enterprise Database Management System (Dbms) Market to Eyewitness Massive Growth by 2030: Oracle Corporation, Embarcadero Technologies – Shanghaiist
1 August 2022, Shanghaiist

NoSQL Market Investment Analysis | Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab – Shanghaiist
8 August 2022, Shanghaiist

Document Databases Market including top key players Couchbase, MongoDB, Amazon, MarkLogic
27 July 2022, This Is Ardee

provided by Google News

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29 July 2022, TechRepublic

SQL Server 2022 New Features
22 July 2022, Petri.com

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12 July 2022, Redmond Channel Partner

Why No Full SQL Server Reporting/Integration Services in Visual Studio 2022?
18 July 2022, Visual Studio Magazine

NoSQL Market Investment Analysis | Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab – Shanghaiist
8 August 2022, Shanghaiist

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

provided by Google News

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