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DBMS > NCache vs. ObjectBox vs. Stardog vs. Yanza

System Properties Comparison NCache vs. ObjectBox vs. Stardog vs. Yanza

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Editorial information provided by DB-Engines
NameNCache  Xexclude from comparisonObjectBox  Xexclude from comparisonStardog  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-Source and Enterprise in-memory Key-Value StoreExtremely fast embedded database for small devices, IoT and MobileEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS for IoT Applications
Primary database modelKey-value storeObject oriented DBMSGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.98
Rank#196  Overall
#29  Key-value stores
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.alachisoft.com/­ncacheobjectbox.iowww.stardog.comyanza.com
Technical documentationwww.alachisoft.com/­resources/­docsdocs.objectbox.iodocs.stardog.com
DeveloperAlachisoftObjectBox LimitedStardog-UnionYanza
Initial release2005201720102015
Current release5.3.3, April 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoEnterprise Edition availableOpen Source infoApache License 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#, .NET, .NET Core, JavaC and C++Java
Server operating systemsLinux
Windows
Android
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesyesno
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsIDistributedCache
JCache
LINQ
Proprietary native API
Proprietary native APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languages.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresno infosupport for stored procedures with SQL-Server CLRnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes infoNotificationsnoyes infovia event handlersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelonline/offline synchronization between client and serverMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking and pessimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yesAccess rights for users and rolesno
More information provided by the system vendor
NCacheObjectBoxStardogYanza
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» 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
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More resources
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25 February 2019, InfoWorld

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