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DBMS > Lovefield vs. Microsoft Azure SQL Database vs. MonetDB vs. ObjectBox vs. Sphinx

System Properties Comparison Lovefield vs. Microsoft Azure SQL Database vs. MonetDB vs. ObjectBox vs. Sphinx

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptDatabase as a Service offering with high compatibility to Microsoft SQL ServerA relational database management system that stores data in columnsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.monetdb.orggithub.com/­objectbox
objectbox.io
sphinxsearch.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sqlwww.monetdb.org/­Documentationdocs.objectbox.iosphinxsearch.com/­docs
DeveloperGoogleMicrosoftMonetDB BVObjectBox LimitedSphinx Technologies Inc.
Initial release20142010200420172001
Current release2.1.12, February 2017V12Dec2023 (11.49), December 20234.0 (May 2024)3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++CC and C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedFreeBSD
Linux
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, plus "flex" map-like typesno
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 indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesyes infoSQL 2003 with some extensionsnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native APIProprietary protocol
Supported programming languagesJavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLyes, in SQL, C, Rnono
TriggersUsing read-only observersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availablenone infoSource-replica replication available in experimental statusData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes 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.yes infousing MemoryDBno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
LovefieldMicrosoft Azure SQL Database infoformerly SQL AzureMonetDBObjectBoxSphinx
News

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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
LovefieldMicrosoft Azure SQL Database infoformerly SQL AzureMonetDBObjectBoxSphinx
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