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DBMS > Badger vs. Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. SQLite vs. Trafodion

System Properties Comparison Badger vs. Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. SQLite vs. Trafodion

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Globally distributed, horizontally scalable, multi-model database serviceMicrosofts flagship relational DBMSWidely used embeddable, in-process RDBMSTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­services/­cosmos-dbwww.microsoft.com/­en-us/­sql-serverwww.sqlite.orgtrafodion.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­azure/­cosmos-dblearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.htmltrafodion.apache.org/­documentation.html
DeveloperDGraph LabsMicrosoftMicrosoftDwayne Richard HippApache Software Foundation, originally developed by HP
Initial release20172014198920002014
Current releaseSQL Server 2022, November 20223.46.0  (23 May 2024), May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoPublic DomainOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageGoC++CC++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
server-lessLinux
Data schemeschema-freeschema-freeyesyes infodynamic column typesyes
Typing infopredefined data types such as float or datenoyes infoJSON typesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.noyesnono
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
ADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoJava Stored Procedures
TriggersnoJavaScriptyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server Editionnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
BadgerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft SQL ServerSQLiteTrafodion
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