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DBMS > Quasardb vs. SiteWhere vs. Stardog vs. Transwarp KunDB

System Properties Comparison Quasardb vs. SiteWhere vs. Stardog vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonStardog  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelTime Series DBMSTime Series DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitequasar.aigithub.com/­sitewhere/­sitewherewww.stardog.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmldocs.stardog.com
DeveloperquasardbSiteWhereStardog-UnionTranswarp
Initial release200920102010
Current release3.14.1, January 20247.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freepredefined schemeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyesyes
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 possible
Secondary indexesyes infowith tagsnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query languagenoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsHTTP APIHTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infobased on HBasenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factor infobased on HBaseMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenoyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptAccess rights for users and rolesyes

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More resources
QuasardbSiteWhereStardogTranswarp KunDB
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