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DBMS > Amazon DynamoDB vs. Firebolt vs. GraphDB vs. JanusGraph

System Properties Comparison Amazon DynamoDB vs. Firebolt vs. GraphDB vs. JanusGraph

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFirebolt  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseEnterprise-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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Key-value store
Relational DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websiteaws.amazon.com/­dynamodbwww.firebolt.iowww.ontotext.comjanusgraph.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.firebolt.iographdb.ontotext.com/­documentationdocs.janusgraph.org
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAmazonFirebolt Analytics Inc.OntotextLinux Foundation; originally developed as Titan by Aurelius
Initial release2012202020002017
Current release10.4, October 20230.6.3, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnoyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsRESTful HTTP API.Net
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonowell-defined plugin interfaces; JavaScript server-side extensibilityyes
Triggersyes infoby integration with AWS Lambdanonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphs
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 regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Default 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.User authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon DynamoDBFireboltGraphDB infoformer name: OWLIMJanusGraph infosuccessor of Titan
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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