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DBMS > Apache IoTDB vs. Solr vs. Sphinx vs. TimesTen vs. Yanza

System Properties Comparison Apache IoTDB vs. Solr vs. Sphinx vs. TimesTen vs. Yanza

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to OracleTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSSearch engineSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteiotdb.apache.orgsolr.apache.orgsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyanza.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsolr.apache.org/­resources.htmlsphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationApache Software FoundationSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yanza
Initial release20182006200119982015
Current release1.1.0, April 20239.6.0, April 20243.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)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
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingnoyesno
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.noyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yesno
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP/JSON API
Proprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.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
PL/SQL
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesJava pluginsnoPL/SQLno
Triggersyesyes infoUser configurable commands triggered on index changesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesyesnofine grained access rights according to SQL-standardno

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More resources
Apache IoTDBSolrSphinxTimesTenYanza
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