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DBMS > mSQL vs. ObjectBox vs. Solr vs. TimescaleDB

System Properties Comparison mSQL vs. ObjectBox vs. Solr vs. TimescaleDB

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA widely used distributed, scalable search engine based on Apache LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Search engineTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitehughestech.com.au/­products/­msqlgithub.com/­objectbox
objectbox.io
solr.apache.orgwww.timescale.com
Technical documentationdocs.objectbox.iosolr.apache.org/­resources.htmldocs.timescale.com
DeveloperHughes TechnologiesObjectBox LimitedApache Software FoundationTimescale
Initial release1994201720062017
Current release4.4, October 20214.0 (May 2024)9.6.1, May 20242.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree licenses can be providedBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaC
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes infosupports customizable data types and automatic typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSolr Parallel SQL Interfaceyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Proprietary native APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoJava pluginsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneData sync between devices allowing occasional connected databases to work completely offlineyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
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.nonoyesno
User concepts infoAccess controlnoyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
mSQL infoMini SQLObjectBoxSolrTimescaleDB
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