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DBMS > Bangdb vs. Hazelcast vs. MongoDB

System Properties Comparison Bangdb vs. Hazelcast vs. MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHazelcast  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted in-memory data gridOne 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
Key-value storeDocument store
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#45  Document stores
#29  Graph DBMS
#29  Time Series DBMS
Score7.66
Rank#54  Overall
#5  Key-value stores
Score424.53
Rank#5  Overall
#1  Document stores
Websitebangdb.comhazelcast.comwww.mongodb.com
Technical documentationdocs.bangdb.comhazelcast.org/­imdg/­docswww.mongodb.com/­docs/­manual
DeveloperSachin Sinha, BangDBHazelcastMongoDB, Inc
Initial release201220082009
Current releaseBangDB 2.0, October 20215.3.6, November 20236.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen 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 servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC, C++JavaC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-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, eventsyesyes 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.noyes infothe object must implement a serialization strategy
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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
Kotlin
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 proceduresnoyes infoEvent Listeners, Executor ServicesJavaScript
Triggersyes, Notifications (with Streaming only)yes infoEventsyes 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 algorithmShardingSharding 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)yes infoReplicated MapMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes 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 modeyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes (enterprise version only)Role-based access controlAccess rights for users and roles
More information provided by the system vendor
BangdbHazelcastMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
BangdbHazelcastMongoDB
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