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DBMS > BoltDB vs. Cubrid vs. Solr vs. Sphinx vs. TinkerGraph

System Properties Comparison BoltDB vs. Cubrid vs. Solr vs. Sphinx vs. TinkerGraph

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCubrid  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAn embedded key-value store for Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeRelational DBMSSearch engineSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitegithub.com/­boltdb/­boltcubrid.com (korean)
cubrid.org (english)
solr.apache.orgsphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcubrid.org/­manualssolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperCUBRID Corporation, CUBRID FoundationApache Software FoundationSphinx Technologies Inc.
Initial release20132008200620012009
Current release11.0, January 20219.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
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 languageGoC, C++, JavaJavaC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or datenoyesyes infosupports customizable data types and automatic typingnoyes
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.nonoyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Proprietary protocolTinkerPop 3
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Groovy
Java
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava pluginsnono
Triggersnoyesyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.optional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesnono

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BoltDBCubridSolrSphinxTinkerGraph
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