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DBMS > Graph Engine vs. Qdrant vs. Stardog vs. TigerGraph

System Properties Comparison Graph Engine vs. Qdrant vs. Stardog vs. TigerGraph

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high-performance vector database with neural network or semantic-based matchingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
Key-value store
Vector DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.graphengine.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.comwww.tigergraph.com
Technical documentationwww.graphengine.io/­docs/­manualqdrant.tech/­documentationdocs.stardog.comdocs.tigergraph.com
DeveloperMicrosoftQdrantStardog-Union
Initial release2010202120102017
Current release7.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial 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 language.NET and CRustJavaC++
Server operating systems.NETDocker
Linux
macOS
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesyes
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 indexesyes infoKeywords, numberic ranges, geo, full-textyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlKey-based authenticationAccess rights for users and rolesRole-based access control

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More resources
Graph Engine infoformer name: TrinityQdrantStardogTigerGraph
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Trinity
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