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DBMS > Bangdb vs. Microsoft Azure Data Explorer vs. MongoDB

System Properties Comparison Bangdb vs. Microsoft Azure Data Explorer vs. MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFully managed big data interactive analytics platformOne 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
Relational DBMS infocolumn orientedDocument store
Secondary database modelsSpatial DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Spatial 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
Score0.22
Rank#313  Overall
#44  Document stores
#30  Graph DBMS
#25  Time Series DBMS
Score7.67
Rank#59  Overall
#34  Relational DBMS
Score486.23
Rank#5  Overall
#1  Document stores
Websitebangdb.comazure.microsoft.com/­services/­data-explorerwww.mongodb.com
Technical documentationbangdb.com/­developerdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.mongodb.com/­manual
DeveloperSachin Sinha, BangDBMicrosoftMongoDB, Inc
Initial release201220192009
Current releaseBangDB 2.0, October 2021cloud service with continuous releases6.0.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen 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 servicenoyesno 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.
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Implementation languageC, C++C++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)schema-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 infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes 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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialall fields are automatically indexedyes
SQL infoSupport of SQLSQL like support with command line toolKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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 proceduresnoYes, possible languages: KQL, Python, RJavaScript
Triggersyes, Notifications (with Streaming only)yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes 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 infoImplicit feature of the cloud serviceSharding 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 infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
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 dataACIDnoMulti-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 modenoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes (enterprise version only)Azure Active Directory AuthenticationAccess rights for users and roles
More information provided by the system vendor
BangdbMicrosoft Azure Data ExplorerMongoDB
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
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Azure Data Explorer is a fast and highly scalable data exploration service for log...
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MongoDB’s application data platform provides developers a unified interface to power...
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Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
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Kusto Query Language (innovative query language, optimized for high performance data...
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The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
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IoT applications IoT devices generate billions of sensor readings. Normalizing and...
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Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
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Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
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Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
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200+ million downloads, over 1.5M Atlas database clusters under management handling...
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Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
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An Azure Data Explorer cluster is a pair of engine and data management clusters which...
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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Databases run better with Percona.
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More resources
BangdbMicrosoft Azure Data ExplorerMongoDB
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