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DBMS > Microsoft SQL Server vs. MongoDB vs. RocksDB

System Properties Comparison Microsoft SQL Server vs. MongoDB vs. RocksDB

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonMongoDB  Xexclude from comparisonRocksDB  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 infrastructureEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSDocument storeKey-value store
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
Score922.01
Rank#3  Overall
#3  Relational DBMS
Score458.78
Rank#5  Overall
#1  Document stores
Score4.57
Rank#87  Overall
#13  Key-value stores
Websitewww.microsoft.com/­en-us/­sql-serverwww.mongodb.comrocksdb.org
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.mongodb.com/­manualgithub.com/­facebook/­rocksdb/­wiki
DeveloperMicrosoftMongoDB, IncFacebook, Inc.
Initial release198920092013
Current releaseSQL Server 2022, November 20226.0.1, August 20227.10.2, March 2023
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 infoBSD
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
Linux
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.schema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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 indexesyesyesno
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSONC++ API
Java API
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScriptno
Triggersyesyes infoin MongoDB Atlas only
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.horizontal 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
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 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno

More information provided by the system vendor

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More resources
Microsoft SQL ServerMongoDBRocksDB
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