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DBMS > Bangdb vs. Kinetica vs. Microsoft Azure AI Search vs. Percona Server for MongoDB

System Properties Comparison Bangdb vs. Kinetica vs. Microsoft Azure AI Search vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engineDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.52
Rank#254  Overall
#39  Document stores
Websitebangdb.comwww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.bangdb.comdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSachin Sinha, BangDBKineticaMicrosoftPercona
Initial release2012201220152015
Current releaseBangDB 2.0, October 20217.1, August 2021V13.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C, C++C++
Server operating systemsLinuxLinuxhostedLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Actionscript
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 proceduresnouser defined functionsnoJavaScript
Triggersyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes infoImplicit feature of the cloud serviceSource-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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyes infoGPU vRAM or System RAMnoyes infovia In-Memory Engine
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles on table levelyes infousing Azure authenticationAccess rights for users and roles

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More resources
BangdbKineticaMicrosoft Azure AI SearchPercona Server for MongoDB
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