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

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

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonSnowflake  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 ServerExtremely fast embedded database for small devices, IoT and MobileCloud-based data warehousing service for structured and semi-structured dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational 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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.iowww.snowflake.comsphinxsearch.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iodocs.snowflake.net/­manuals/­index.htmlsphinxsearch.com/­docs
DeveloperGoogleMicrosoftObjectBox LimitedSnowflake Computing Inc.Sphinx Technologies Inc.
Initial release20142010201720142001
Current release2.1.12, February 2017V123.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C and C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
iOS
Linux
macOS
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.noyesnoyes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesnoyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native APICLI Client
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLnouser defined functionsno
TriggersUsing read-only observersyesnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesSharding 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 availableonline/offline synchronization between client and serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 MemoryDBnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
LovefieldMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxSnowflakeSphinx
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