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DBMS > Amazon CloudSearch vs. Firebird vs. GraphDB vs. SQream DB

System Properties Comparison Amazon CloudSearch vs. Firebird vs. GraphDB vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebird  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFirebird is an open source RDBMS forked from Borland's InterBaseEnterprise-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.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.firebirdsql.orgwww.ontotext.comsqream.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.firebirdsql.org/­en/­reference-manualsgraphdb.ontotext.com/­documentationdocs.sqream.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazonFirebird FoundationOntotextSQream Technologies
Initial release20122000 infoAs fork of Borland's InterBase20002017
Current release5.0.0, January 202410.4, October 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLnoyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes
APIs and other access methodsHTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPSQLwell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptDefault 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.
More information provided by the system vendor
Amazon CloudSearchFirebirdGraphDB infoformer name: OWLIMSQream DB
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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