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DBMS > ObjectBox vs. Solr vs. SQream DB vs. TDengine vs. Trafodion

System Properties Comparison ObjectBox vs. Solr vs. SQream DB vs. TDengine vs. Trafodion

Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparisonTDengine  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionExtremely fast embedded database for small devices, IoT and MobileA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloadsTime Series DBMS and big data platformTransactional SQL-on-Hadoop DBMS
Primary database modelObject oriented DBMSSearch engineRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteobjectbox.iosolr.apache.orgsqream.comgithub.com/­taosdata/­TDengine
tdengine.com
trafodion.apache.org
Technical documentationdocs.objectbox.iosolr.apache.org/­resources.htmldocs.sqream.comdocs.tdengine.comtrafodion.apache.org/­documentation.html
DeveloperObjectBox LimitedApache Software FoundationSQream TechnologiesTDEngine, previously Taos DataApache Software Foundation, originally developed by HP
Initial release20172006201720192014
Current release9.6.0, April 20242022.1.6, December 20223.0, August 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++, CUDA, Haskell, Java, ScalaCC++, Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Windows
Linux
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Typesyesyes
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 indexednonoyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceyesStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsProprietary native APIJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava pluginsuser defined functions in PythonnoJava Stored Procedures
Triggersnoyes infoUser configurable commands triggered on index changesnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serveryesnoneyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-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 systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxSolrSQream DBTDengineTrafodion
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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