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DBMS > Amazon Redshift vs. GraphDB vs. Microsoft SQL Server vs. Qdrant

System Properties Comparison Amazon Redshift vs. GraphDB vs. Microsoft SQL Server vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Microsofts flagship relational DBMSA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­redshiftwww.ontotext.comwww.microsoft.com/­en-us/­sql-servergithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­redshiftgraphdb.ontotext.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-serverqdrant.tech/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazon (based on PostgreSQL)OntotextMicrosoftQdrant
Initial release2012200019892021
Current release10.4, October 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial inforestricted free version is availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Rust
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Boolean
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.nonoyesno
Secondary indexesrestrictedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesno
APIs and other access methodsJDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonwell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes, but depending on the SQL-Server EditionCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
Amazon RedshiftGraphDB infoformer name: OWLIMMicrosoft SQL ServerQdrant
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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More resources
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