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DBMS > Bangdb vs. Microsoft Azure SQL Database vs. OrigoDB vs. Percona Server for MongoDB

System Properties Comparison Bangdb vs. Microsoft Azure SQL Database vs. OrigoDB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDatabase as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitebangdb.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSachin Sinha, BangDBMicrosoftRobert Friberg et alPercona
Initial release201220102009 infounder the name LiveDB2015
Current releaseBangDB 2.0, October 2021V123.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen SourceOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C#C++
Server operating systemsLinuxhostedLinux
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoTransact SQLyesJavaScript
Triggersyes, Notifications (with Streaming only)yesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes, with always 3 replicas availableSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infovia In-Memory Engine
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardRole based authorizationAccess rights for users and roles

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More resources
BangdbMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBPercona Server for MongoDB
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