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DBMS > Apache IoTDB vs. Apache Jena - TDB vs. Solr vs. TDengine

System Properties Comparison Apache IoTDB vs. Apache Jena - TDB vs. Solr vs. TDengine

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
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 RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelTime Series DBMSRDF storeSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteiotdb.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlsolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmljena.apache.org/­documentation/­tdb/­index.htmlsolr.apache.org/­resources.htmldocs.tdengine.com
DeveloperApache Software FoundationApache Software Foundation infooriginally developed by HP LabsApache Software FoundationTDEngine, previously Taos Data
Initial release2018200020062019
Current release1.1.0, April 20234.9.0, July 20239.6.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0Open Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeyesyes infoRDF Schemasyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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 indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
Native API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Java API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyesJava pluginsno
Triggersyesyes infovia event handleryes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB Transactionsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess control via Jena Securityyesyes
More information provided by the system vendor
Apache IoTDBApache Jena - TDBSolrTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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