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DBMS > JaguarDB vs. ObjectBox vs. PostgreSQL vs. SpatiaLite vs. Sphinx

System Properties Comparison JaguarDB vs. ObjectBox vs. PostgreSQL vs. SpatiaLite vs. Sphinx

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsExtremely fast embedded database for small devices, IoT and MobileWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpatial extension of SQLiteOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value store
Vector DBMS
Object oriented DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Spatial DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.jaguardb.comobjectbox.iowww.postgresql.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexsphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmldocs.objectbox.iowww.postgresql.org/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsphinxsearch.com/­docs
DeveloperDataJaguar, Inc.ObjectBox LimitedPostgreSQL Global Development Group infowww.postgresql.org/­developerAlessandro FurieriSphinx Technologies Inc.
Initial release201520171989 info1989: Postgres, 1996: PostgreSQL20082001
Current release3.3 July 202316.3, May 20245.0.0, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoApache License 2.0Open Source infoBSDOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC and C++CC++C++
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes infostandard with numerous extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and (since PostgreSQL 11) by hashnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationonline/offline synchronization between client and serverSource-replica replication infoother methods possible by using 3rd party extensionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlrights management via user accountsyesfine grained access rights according to SQL-standardnono
More information provided by the system vendor
JaguarDBObjectBoxPostgreSQLSpatiaLiteSphinx
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