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DBMS > Bangdb vs. mSQL vs. Realm vs. Solr

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRealm  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 RDBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeSearch 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
Score7.71
Rank#52  Overall
#9  Document stores
Score44.28
Rank#24  Overall
#3  Search engines
Websitebangdb.comhughestech.com.au/­products/­msqlrealm.iosolr.apache.org
Technical documentationdocs.bangdb.comrealm.io/­docssolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBHughes TechnologiesRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2012199420142006
Current releaseBangDB 2.0, October 20214.4, October 20219.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree licenses can be providedOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CJava
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes 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, eventsyesyesyes 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, geospatialyesyesyes 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, triggersnoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersyes, Notifications (with Streaming only)noyes infoChange Listenersyes 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 algorithmnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)nonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-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 controlnoyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 realmyes
User concepts infoAccess controlyes (enterprise version only)noyesyes

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