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

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

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonReductStore  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 ServerLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Time Series DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
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
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­objectbox
objectbox.io
github.com/­reductstore
www.reduct.store
sphinxsearch.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iowww.reduct.store/­docssphinxsearch.com/­docs
DeveloperGoogleMicrosoftObjectBox LimitedReductStore LLCSphinx Technologies Inc.
Initial release20142010201720232001
Current release2.1.12, February 2017V124.0 (May 2024)1.9, March 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoBusiness Source License 1.1Open 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++C and C++C++, RustC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Docker
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, 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 indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native APIHTTP APIProprietary protocol
Supported programming languagesJavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C++
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLnono
TriggersUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding 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 availableData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes 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-standardyesno
More information provided by the system vendor
LovefieldMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxReductStoreSphinx
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More resources
LovefieldMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxReductStoreSphinx
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