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DBMS > Solr vs. TDengine vs. TimesTen vs. Trafodion

System Properties Comparison Solr vs. TDengine vs. TimesTen vs. Trafodion

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonTDengine  Xexclude from comparisonTimesTen  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platformIn-Memory RDBMS compatible to OracleTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitesolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
www.oracle.com/­database/­technologies/­related/­timesten.htmltrafodion.apache.org
Technical documentationsolr.apache.org/­resources.htmldocs.tdengine.comdocs.oracle.com/­database/­timesten-18.1trafodion.apache.org/­documentation.html
DeveloperApache Software FoundationTDEngine, previously Taos DataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Apache Software Foundation, originally developed by HP
Initial release2006201919982014
Current release9.6.1, May 20243.0, August 202211 Release 2 (11.2.2.8.0)2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions availablecommercialOpen Source infoApache 2.0
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 languageJavaCC++, Java
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesyes
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.yesnonono
Secondary indexesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applicationsyesyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Supported programming languages.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
C
C++
Java
PL/SQL
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava pluginsnoPL/SQLJava Stored Procedures
Triggersyes infoUser configurable commands triggered on index changesyes, via alarm monitoringnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesno
User concepts infoAccess controlyesyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
SolrTDengineTimesTenTrafodion
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
News

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
SolrTDengineTimesTenTrafodion
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