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DBMS > Ehcache vs. LokiJS vs. Pinecone

System Properties Comparison Ehcache vs. LokiJS vs. Pinecone

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLokiJS  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsIn-memory JavaScript DBMSA managed, cloud-native vector database
Primary database modelKey-value storeDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.49
Rank#260  Overall
#42  Document stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.ehcache.orggithub.com/­techfort/­LokiJSwww.pinecone.io
Technical documentationwww.ehcache.org/­documentationtechfort.github.io/­LokiJSdocs.pinecone.io/­docs/­overview
DeveloperTerracotta Inc, owned by Software AGPinecone Systems, Inc
Initial release200920142019
Current release3.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScript
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Boolean
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.nonono
Secondary indexesnoyes infovia views
SQL infoSupport of SQLnonono
APIs and other access methodsJCacheJavaScript APIRESTful HTTP API
Supported programming languagesJavaJavaScriptPython
Server-side scripts infoStored proceduresnoView functions in JavaScript
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)none
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnono

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More resources
EhcacheLokiJSPinecone
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