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DBMS > Lovefield vs. ObjectBox vs. Oracle Berkeley DB vs. Sphinx vs. Trino

System Properties Comparison Lovefield vs. ObjectBox vs. Oracle Berkeley DB vs. Sphinx vs. Trino

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSphinx  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptExtremely fast embedded database for small devices, IoT and MobileWidely used in-process key-value storeOpen source search engine for searching in data from different sources, e.g. relational databasesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSObject oriented DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitegoogle.github.io/­lovefieldobjectbox.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsphinxsearch.comtrino.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.objectbox.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsphinxsearch.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGoogleObjectBox LimitedOracle infooriginally developed by Sleepycat, which was acquired by OracleSphinx Technologies Inc.Trino Software Foundation
Initial release20142017199420012012 info2020 rebranded from PrestoSQL
Current release2.1.12, February 201718.1.40, May 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infocommercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaScriptC and C++C, Java, C++ (depending on the Berkeley DB edition)C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
iOS
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsdepending on connected data-source
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoyes infoSQL interfaced based on SQLite is availableSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APIProprietary protocolJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJavaScriptC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonononoyes, depending on connected data-source
TriggersUsing read-only observersnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supporteddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and serverSource-replica replicationnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnodepending on connected data-source
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.depending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes
User concepts infoAccess controlnoyesnonoSQL standard access control
More information provided by the system vendor
LovefieldObjectBoxOracle Berkeley DBSphinxTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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