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DBMS > Sequoiadb vs. Solr vs. Sphinx vs. Splice Machine vs. TimesTen

System Properties Comparison Sequoiadb vs. Solr vs. Sphinx vs. Splice Machine vs. TimesTen

Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Relational DBMS
Search engineSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.sequoiadb.comsolr.apache.orgsphinxsearch.comsplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsolr.apache.org/­resources.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1
DeveloperSequoiadb Ltd.Apache Software FoundationSphinx Technologies Inc.Splice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20132006200120141998
Current release9.6.1, May 20243.5.1, February 20233.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemsLinuxAll 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
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyes infosupports customizable data types and automatic typingnoyesyes
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yesyes
APIs and other access methodsproprietary protocol using JSONJava API
RESTful HTTP/JSON API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C++
Java
PHP
Python
.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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresJavaScriptJava pluginsnoyes infoJavaPL/SQL
Triggersnoyes infoUser configurable commands triggered on index changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionoptimistic lockingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlsimple password-based access controlyesnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
SequoiadbSolrSphinxSplice MachineTimesTen
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