DBMS > Microsoft SQL Server vs. VoltDB

System Properties Comparison Microsoft SQL Server vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

Distributed In-Memory NewSQL RDBMS info

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

Secondary database models

Document store
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Score	1038.09
Rank	#3	Overall
	#3	Relational DBMS

Score	2.00
Rank	#127	Overall
	#65	Relational DBMS

Website

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

www.voltdb.com

Technical documentation

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

docs.voltdb.com

Developer

Microsoft

VoltDB Inc.

Initial release

1989

2010

Current release

SQL Server 2019, November 2019

9.0, April 2019

License

Commercial or Open Source

commercial info

restricted free version is available

Open Source info

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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, C++

Server operating systems

Linux
Windows

Linux
OS X info

for development

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

only a subset of SQL 99

APIs and other access methods

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

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

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

C#
C++
Erlang info

not officially supported
Go
Java
JavaScript info

Node.js
PHP
Python

Server-side scripts info

Stored procedures

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

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

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

FOREIGN KEY constraints are not supported

Transaction concepts info

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

Users and roles with access to stored procedures

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