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DBMS > Cubrid vs. Firebase Realtime Database vs. Solr vs. Sphinx vs. VelocityDB

System Properties Comparison Cubrid vs. Firebase Realtime Database vs. Solr vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeSearch engineSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitecubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databasesolr.apache.orgsphinxsearch.comvelocitydb.com
Technical documentationcubrid.org/­manualsfirebase.google.com/­docs/­databasesolr.apache.org/­resources.htmlsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperCUBRID Corporation, CUBRID FoundationGoogle infoacquired by Google 2014Apache Software FoundationSphinx Technologies Inc.VelocityDB Inc
Initial release20082012200620012011
Current release11.0, January 20219.6.0, April 20243.5.1, February 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJavaC++C#
Server operating systemsLinux
Windows
hostedAll 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
Any that supports .NET
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Proprietary protocol.Net
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
.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
.Net
Server-side scripts infoStored proceduresJava Stored Procedureslimited functionality with using 'rules'Java pluginsnono
TriggersyesCallbacks are triggered when data changesyes infoUser configurable commands triggered on index changesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
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 systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesyesnoBased on Windows Authentication

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CubridFirebase Realtime DatabaseSolrSphinxVelocityDB
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