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DBMS > Quasardb vs. Stardog vs. Teradata vs. VictoriaMetrics

System Properties Comparison Quasardb vs. Stardog vs. Teradata vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonStardog  Xexclude from comparisonTeradata  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA hybrid cloud data analytics software platform (Teradata Vantage)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitequasar.aiwww.stardog.comwww.teradata.comvictoriametrics.com
Technical documentationdoc.quasar.ai/­masterdocs.stardog.comdocs.teradata.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperquasardbStardog-UnionTeradataVictoriaMetrics
Initial release2009201019842018
Current release3.14.1, January 20247.3.0, May 2020Teradata Vantage 1.0 MU2, January 2019v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialOpen Source infoApache Version 2.0
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++JavaGo
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Windows
hosted
Linux
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
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 infoImport/export of XML data possibleyesno
Secondary indexesyes infowith tagsyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL 2016 + extensionsno
APIs and other access methodsHTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyes infovia event handlersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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 modeyesyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
QuasardbStardogTeradataVictoriaMetrics
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