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DBMS > Bangdb vs. Couchbase vs. mSQL vs. OrientDB vs. Solr

System Properties Comparison Bangdb vs. Couchbase vs. mSQL vs. OrientDB vs. Solr

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrientDB  Xexclude from comparisonSolr  Xexclude from comparison
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 databasemSQL (Mini SQL) is a simple and lightweight RDBMSMulti-model DBMS (Document, Graph, Key/Value)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
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
Spatial DBMS
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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.couchbase.comhughestech.com.au/­products/­msqlorientdb.orgsolr.apache.org
Technical documentationdocs.bangdb.comdocs.couchbase.comwww.orientdb.com/­docs/­last/­index.htmlsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBCouchbase, Inc.Hughes TechnologiesOrientDB LTD; CallidusCloud; SAPApache Software Foundation
Initial release20122011199420102006
Current releaseBangDB 2.0, October 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20234.4, October 20213.2.29, March 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial infofree licenses can be providedOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C, C++, Go and ErlangCJavaJava
Server operating systemsLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java JDK (>= JDK 6)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language, no joinsSolr Parallel 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
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noJava, JavascriptJava plugins
Triggersyes, Notifications (with Streaming only)yes infovia the TAP protocolnoHooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic ShardingnoneShardingSharding
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
noneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocould be achieved with distributed queriesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
noneEventual Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesnoyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 bucketsnoyes
User concepts infoAccess controlyes (enterprise version only)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.noAccess rights for users and roles; record level security configurableyes

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More resources
BangdbCouchbase infoOriginally called MembasemSQL infoMini SQLOrientDBSolr
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