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DBMS > LokiJS vs. NCache vs. OpenSearch

System Properties Comparison LokiJS vs. NCache vs. OpenSearch

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Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonNCache  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSOpen-Source and Enterprise in-memory Key-Value StoreA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelDocument storeKey-value storeSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#260  Overall
#42  Document stores
Score0.96
Rank#195  Overall
#29  Key-value stores
Score16.03
Rank#37  Overall
#4  Search engines
Websitegithub.com/­techfort/­LokiJSwww.alachisoft.com/­ncachegithub.com/­opensearch-project
opensearch.org
Technical documentationtechfort.github.io/­LokiJSwww.alachisoft.com/­resources/­docsopensearch.org/­docs/­latest
DeveloperAlachisoftAmazon Web Services
Initial release201420052021
Current release5.3.3, April 20242.5.0, January 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageJavaScriptC#, .NET, .NET Core, JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or datenopartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.nono
Secondary indexesyes infovia viewsyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language
APIs and other access methodsJavaScript APIIDistributedCache
JCache
LINQ
Proprietary native API
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaScript.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresView functions in JavaScriptno infosupport for stored procedures with SQL-Server CLRyes
Triggersyesyes infoNotificationsyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
LokiJSNCacheOpenSearch
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LokiJSNCacheOpenSearch
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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