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DBMS > Amazon DynamoDB vs. Amazon Redshift vs. GraphDB vs. Microsoft SQL Server vs. OpenEdge

System Properties Comparison Amazon DynamoDB vs. Amazon Redshift vs. GraphDB vs. Microsoft SQL Server vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge 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 DBMSApplication development environment with integrated database management system
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftwww.ontotext.comwww.microsoft.com/­en-us/­sql-serverwww.progress.com/­openedge
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftgraphdb.ontotext.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-serverdocumentation.progress.com/­output/­ua/­OpenEdge_latest
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazonAmazon (based on PostgreSQL)OntotextMicrosoftProgress Software Corporation
Initial release20122012200019891984
Current release10.4, October 2023SQL Server 2022, November 2022OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemshostedhostedAll OS with a Java VM
Linux
OS X
Windows
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyes
Secondary indexesyesrestrictedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes infoclose to SQL 92
APIs and other access methodsRESTful HTTP APIJDBC
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)
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All 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
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonwell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyes infoby integration with AWS Lambdanonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationyes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine 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-standardUsers and groups
More information provided by the system vendor
Amazon DynamoDBAmazon RedshiftGraphDB infoformer name: OWLIMMicrosoft SQL ServerOpenEdge
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
News

Case study: Policy Enforcement Automation With Semantics
2 May 2024

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19 April 2024

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10 April 2024

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3 April 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBAmazon RedshiftGraphDB infoformer name: OWLIMMicrosoft SQL ServerOpenEdge
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