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DBMS > Kdb vs. Lovefield vs. openGemini vs. SpatiaLite vs. Sphinx

System Properties Comparison Kdb vs. Lovefield vs. openGemini vs. SpatiaLite vs. Sphinx

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonLovefield  Xexclude from comparisonopenGemini  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh performance Time Series DBMSEmbeddable relational database for web apps written in pure JavaScriptAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySpatial extension of SQLiteOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSSpatial DBMSSearch engine
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitekx.comgoogle.github.io/­lovefieldwww.opengemini.org
github.com/­openGemini
www.gaia-gis.it/­fossil/­libspatialite/­indexsphinxsearch.com
Technical documentationcode.kx.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.opengemini.org/­guidewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcGoogleHuawei and openGemini communityAlessandro FurieriSphinx Technologies Inc.
Initial release2000 infokdb was released 2000, kdb+ in 20032014202220082001
Current release3.6, May 20182.1.12, February 20171.1, July 20235.0.0, August 20203.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPL version 2, commercial licence available
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.
Implementation languageqJavaScriptGoC++C++
Server operating systemsLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
server-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyesno
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)SQL-like query language infovia JavaScript builder patternSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP RESTProprietary protocol
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersyes infowith viewsUsing read-only observersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, 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.yesyes infousing MemoryDByesyes
User concepts infoAccess controlrights management via user accountsnoAdministrators and common users accountsnono
More information provided by the system vendor
KdbLovefieldopenGeminiSpatiaLiteSphinx
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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More resources
KdbLovefieldopenGeminiSpatiaLiteSphinx
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