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DBMS > Bangdb vs. LevelDB vs. Quasardb vs. Solr

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comgithub.com/­google/­leveldbquasar.aisolr.apache.org
Technical documentationdocs.bangdb.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBGooglequasardbApache Software Foundation
Initial release2012201120092006
Current releaseBangDB 2.0, October 20211.23, February 20213.14.1, January 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSDcommercial 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++C++C++Java
Server operating systemsLinuxIllumos
Linux
OS X
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-freeschema-freeschema-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, eventsnoyes 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, geospatialnoyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.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 accordinglyImmediate ConsistencyImmediate 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 controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infowith automatic compression on writesyes 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 modeyes infoTransient modeyes
User concepts infoAccess controlyes (enterprise version only)noCryptographically strong user authentication and audit trailyes

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BangdbLevelDBQuasardbSolr
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