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DBMS > Bangdb vs. MongoDB

System Properties Comparison Bangdb vs. MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Secondary database modelsSpatial DBMSSpatial 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
Score0.20
Rank#322  Overall
#44  Document stores
#31  Graph DBMS
#27  Time Series DBMS
Score477.90
Rank#5  Overall
#1  Document stores
Websitebangdb.comwww.mongodb.com
Technical documentationbangdb.com/­developerdocs.mongodb.com/­manual
DeveloperSachin Sinha, BangDBMongoDB, Inc
Initial release20122009
Current releaseBangDB 2.0, October 20216.0.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-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.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.no
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL like support with command line toolRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
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
Server-side scripts infoStored proceduresnoJavaScript
Triggersyes, Notifications (with Streaming only)yes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infooptional, enabled by default
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 infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles

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