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

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

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable 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 vectorsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Search 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
Score2.25
Rank#115  Overall
#19  Key-value stores
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
#7  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­google/­leveldbgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­objectbox
objectbox.io
sphinxsearch.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iosphinxsearch.com/­docs
DeveloperGoogleGoogleMicrosoftObjectBox LimitedSphinx Technologies Inc.
Initial release20112014201020172001
Current release1.23, February 20212.1.12, February 2017V124.0 (May 2024)3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0commercialBindings 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 servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptC++C and C++C++
Server operating systemsIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, 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.nonoyesno
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native APIProprietary protocol
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
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 proceduresnonoTransact SQLnono
TriggersnoUsing read-only observersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, 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 methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 persistentyes infowith automatic compression on writesyes, 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 controlnonofine grained access rights according to SQL-standardyesno
More information provided by the system vendor
LevelDBLovefieldMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxSphinx
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21 May 2024

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More resources
LevelDBLovefieldMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxSphinx
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