DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Bangdb vs. Microsoft Azure SQL Database vs. MongoDB vs. Virtuoso

System Properties Comparison Bangdb vs. Microsoft Azure SQL Database vs. MongoDB vs. Virtuoso

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMongoDB  Xexclude from comparisonVirtuoso  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 ServerOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Spatial 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
Spatial DBMS
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
Score78.51
Rank#15  Overall
#10  Relational DBMS
Score424.53
Rank#5  Overall
#1  Document stores
Score4.39
Rank#82  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#44  Relational DBMS
#2  RDF stores
#9  Search engines
Websitebangdb.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.mongodb.comvirtuoso.openlinksw.com
Technical documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.mongodb.com/­docs/­manualdocs.openlinksw.com/­virtuoso
DeveloperSachin Sinha, BangDBMicrosoftMongoDB, IncOpenLink Software
Initial release2012201020091998
Current releaseBangDB 2.0, October 2021V126.0.7, June 20237.2.11, September 2023
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.Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
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++C++C++C
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-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.yes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.noyesyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoTransact SQLJavaScriptyes infoVirtuoso PL
Triggersyes, Notifications (with Streaming only)yesyes infoin MongoDB Atlas onlyyes
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.yes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes, with always 3 replicas availableMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infooptional, enabled by defaultyes
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 3.2yes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardAccess rights for users and rolesFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BangdbMicrosoft Azure SQL Database infoformerly SQL AzureMongoDBVirtuoso
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Performance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Used for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Broad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Largest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesStudio 3T: The world's favorite IDE for working with MongoDB
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BangdbMicrosoft Azure SQL Database infoformerly SQL AzureMongoDBVirtuoso
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Microsoft's SQL Managed Instance Offers Full Platform Cloud Solution
25 March 2024, Business Insider

DBCC CLONEDATABASE in Microsoft SQL Server
25 March 2024, microsoft.com

Hands-On with Copilot for Azure SQL Database
21 March 2024, Redmondmag.com

provided by Google News

Decoding 26 Analyst Evaluations For MongoDB - MongoDB (NASDAQ:MDB)
28 March 2024, Benzinga

MongoDB (NASDAQ:MDB) Price Target Increased to $500.00 by Analysts at Tigress Financial
28 March 2024, MarketBeat

How to Build Your Own RAG System With LlamaIndex and MongoDB
27 March 2024, Built In

MongoDB: The Future Propelled By Atlas Cloud Database (NASDAQ:MDB)
24 March 2024, Seeking Alpha

MongoDB, Inc. (MDB) Is a Trending Stock: Facts to Know Before Betting on It
25 March 2024, Zacks Investment Research

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here