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DBMS > Bangdb vs. Couchbase vs. Hypertable vs. Microsoft SQL Server vs. MongoDB

System Properties Comparison Bangdb vs. Couchbase vs. Hypertable vs. Microsoft SQL Server vs. MongoDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMongoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseAn open source BigTable implementation based on distributed file systems such as HadoopMicrosofts flagship relational DBMSOne 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 storeWide column storeRelational DBMSDocument store
Secondary database modelsSpatial DBMSKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document 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
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
Score17.30
Rank#36  Overall
#5  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Websitebangdb.comwww.couchbase.comwww.microsoft.com/­en-us/­sql-serverwww.mongodb.com
Technical documentationdocs.bangdb.comdocs.couchbase.comlearn.microsoft.com/­en-US/­sql/­sql-serverwww.mongodb.com/­docs/­manual
DeveloperSachin Sinha, BangDBCouchbase, Inc.Hypertable Inc.MicrosoftMongoDB, Inc
Initial release20122011200919892009
Current releaseBangDB 2.0, October 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20230.9.8.11, March 2016SQL Server 2022, November 20226.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoGNU version 3. Commercial license availablecommercial inforestricted free version is 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 servicenonononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • 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++, Go and ErlangC++C++C++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-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.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyesyes 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, geospatialyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnoyesRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
C++ API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
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 proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScript
Triggersyes, Notifications (with Streaming only)yes infovia the TAP protocolnoyesyes 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 algorithmAutomatic ShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding 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 replication infoincluding cross data center replication
Source-replica replication
selectable replication factor on file system levelyes, but depending on the SQL-Server EditionMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynononoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes 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 infoEphemeral bucketsyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes (enterprise version only)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.nofine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
BangdbCouchbase infoOriginally called MembaseHypertableMicrosoft SQL ServerMongoDB
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
BangdbCouchbase infoOriginally called MembaseHypertableMicrosoft SQL ServerMongoDB
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