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DBMS > Kdb vs. Lovefield vs. ObjectBox vs. Sphinx

System Properties Comparison Kdb vs. Lovefield vs. ObjectBox vs. Sphinx

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonLovefield  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance Time Series DBMSEmbeddable relational database for web apps written in pure JavaScriptExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSObject oriented DBMSSearch engine
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitekx.comgoogle.github.io/­lovefieldobjectbox.iosphinxsearch.com
Technical documentationcode.kx.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.objectbox.iosphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcGoogleObjectBox LimitedSphinx Technologies Inc.
Initial release2000 infokdb was released 2000, kdb+ in 2003201420172001
Current release3.6, May 20182.1.12, February 20173.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJavaScriptC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono
Secondary indexesyes infotable attribute 'grouped'yesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)SQL-like query language infovia JavaScript builder patternnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary native APIProprietary protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScriptC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infowith viewsUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
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 datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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.yesyes infousing MemoryDBno
User concepts infoAccess controlrights management via user accountsnoyesno
More information provided by the system vendor
KdbLovefieldObjectBoxSphinx
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KdbLovefieldObjectBoxSphinx
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