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DBMS > Bangdb vs. JanusGraph vs. mSQL vs. Solr

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017mSQL (Mini SQL) is a simple and lightweight RDBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#322  Overall
#44  Document stores
#31  Graph DBMS
#27  Time Series DBMS
Score2.99
Rank#109  Overall
#7  Graph DBMS
Score1.58
Rank#156  Overall
#73  Relational DBMS
Score51.33
Rank#24  Overall
#3  Search engines
Websitebangdb.comjanusgraph.orghughestech.com.au/­products/­msqllucene.apache.org/­solr
Technical documentationbangdb.com/­developerdocs.janusgraph.orglucene.apache.org/­solr/­resources.html
DeveloperSachin Sinha, BangDBLinux Foundation; originally developed as Titan by AureliusHughes TechnologiesApache Software Foundation
Initial release2012201719942006
Current releaseBangDB 2.0, October 20210.6.1, January 20224.4, October 20219.0.0, May 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial infofree licenses can be providedOpen 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++JavaCJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
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 toolnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnoJava plugins
Triggersyes, Notifications (with Streaming only)yesnoyes 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 algorithmyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenospark-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
noneEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesnoyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
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
User concepts infoAccess controlyes (enterprise version only)User authentification and security via Rexster Graph Servernoyes

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More resources
BangdbJanusGraph infosuccessor of TitanmSQL infoMini SQLSolr
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