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DBMS > Bangdb vs. mSQL vs. Quasardb vs. Solr

System Properties Comparison Bangdb vs. mSQL vs. Quasardb vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphmSQL (Mini SQL) is a simple and lightweight RDBMSDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitebangdb.comhughestech.com.au/­products/­msqlquasar.aisolr.apache.org
Technical documentationdocs.bangdb.comdoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBHughes TechnologiesquasardbApache Software Foundation
Initial release2012199420092006
Current releaseBangDB 2.0, October 20214.4, October 20213.14.1, January 20249.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree licenses can be providedcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++Java
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes 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, eventsyesyes infointeger and binaryyes 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, geospatialyesyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoJava plugins
Triggersyes, Notifications (with Streaming only)nonoyes 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 algorithmnoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-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 accordinglynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlnoyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoby using LevelDByes
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 infoTransient modeyes
User concepts infoAccess controlyes (enterprise version only)noCryptographically strong user authentication and audit trailyes

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More resources
BangdbmSQL infoMini SQLQuasardbSolr
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