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DBMS > Microsoft SQL Server vs. Trafodion vs. VoltDB

System Properties Comparison Microsoft SQL Server vs. Trafodion vs. VoltDB

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonTrafodion  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionMicrosofts relational DBMSTransactional SQL-on-Hadoop DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1037.64
Rank#3  Overall
#3  Relational DBMS
Score0.53
Rank#226  Overall
#110  Relational DBMS
Score1.72
Rank#132  Overall
#66  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-servertrafodion.apache.orgwww.voltdb.com
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-servertrafodion.apache.orgdocs.voltdb.com
DeveloperMicrosoftApache Software Foundation, originally developed by HPVoltDB Inc.
Initial release198920142010
Current releaseSQL Server 2019, November 20192.3.0, February 20199.0, April 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJava, C++
Server operating systemsLinux
Windows
LinuxLinux
OS X infofor development
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava Stored ProceduresJava
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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