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DBMS > LokiJS vs. OpenQM vs. Pinecone vs. Sphinx

System Properties Comparison LokiJS vs. OpenQM vs. Pinecone vs. Sphinx

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Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPinecone  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSQpenQM is a high-performance, self-tuning, multi-value DBMSA managed, cloud-native vector databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeMultivalue DBMSVector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#260  Overall
#42  Document stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­techfort/­LokiJSwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.pinecone.iosphinxsearch.com
Technical documentationtechfort.github.io/­LokiJSdocs.pinecone.io/­docs/­overviewsphinxsearch.com/­docs
DeveloperRocket Software, originally Martin PhillipsPinecone Systems, IncSphinx Technologies Inc.
Initial release2014199320192001
Current release3.4-123.5.1, February 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes infowith some exceptionsyes
Typing infopredefined data types such as float or datenoString, Number, Booleanno
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.noyesno
Secondary indexesyes infovia viewsyesyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language (SphinxQL)
APIs and other access methodsJavaScript APIRESTful HTTP APIProprietary protocol
Supported programming languagesJavaScript.Net
Basic
C
Java
Objective C
PHP
Python
PythonC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions in JavaScriptyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyesyes 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.yesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno

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More resources
LokiJSOpenQM infoalso called QMPineconeSphinx
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