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DBMS > Microsoft SQL Server vs. MongoDB vs. Trafodion vs. Yaacomo

System Properties Comparison Microsoft SQL Server vs. MongoDB vs. Trafodion vs. Yaacomo

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonMongoDB  Xexclude from comparisonTrafodion  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureTransactional SQL-on-Hadoop DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score924.35
Rank#3  Overall
#3  Relational DBMS
Score469.33
Rank#5  Overall
#1  Document stores
Score0.70
Rank#236  Overall
#112  Relational DBMS
Score0.00
Rank#377  Overall
#157  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.mongodb.comtrafodion.apache.orgyaacomo.com
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.mongodb.com/­manualtrafodion.apache.org
DeveloperMicrosoftMongoDB, IncApache Software Foundation, originally developed by HPQ2WEB GmbH
Initial release1989200920142009
Current releaseSQL Server 2019, November 20196.0.1, August 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++, Java
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
LinuxAndroid
Linux
Windows
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSONADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScriptJava Stored Procedures
Triggersyesyes infoin MongoDB Atlas onlynoyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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