DBMS > Microsoft SQL Server vs. Oracle NoSQL

System Properties Comparison Microsoft SQL Server vs. Oracle NoSQL

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Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

Key-value store based on Berkeley DB Java Edition

Primary database model

Relational DBMS

Key-value store

Secondary database models

Document store
Graph DBMS

Relational DBMS

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

Score	1059.72
Rank	#3	Overall
	#3	Relational DBMS

Score	4.42
Rank	#77	Overall
	#13	Key-value stores

Website

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

www.oracle.com/database/nosql/index.html

Technical documentation

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

docs.oracle.com/cd/NOSQL/index.html

Developer

Microsoft

Oracle

Initial release

1989

2011

Current release

SQL Server 2019, November 2019

19.5, November 2019

License

Commercial or Open Source

commercial info

restricted free version is available

Open Source info

Apache V2 for Community Edition, proprietary license for Enterprise Edition

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

Java

Server operating systems

Linux
Windows

Linux
Solaris SPARC/x86

Data scheme

yes

optional, scheme definition possible with AVRO or in 'table-style'

Typing

predefined data types such as float or date

yes

optional

XML support info

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

SQL-like DML and DDL statements

APIs and other access methods

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

RESTful HTTP API

Supported programming languages

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

C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

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

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Electable Master-Slave per shard

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency info

depending on configuration

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

configurable info

ACID within a storage node (=shard)

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

off heap cache

User concepts info

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

Large credit card company Airbus NTT Docomo Global rewards company
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Market metrics

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Licensing and pricing models

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