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DBMS > Google Cloud Datastore vs. GraphDB vs. HEAVY.AI vs. JanusGraph vs. SQream DB

System Properties Comparison Google Cloud Datastore vs. GraphDB vs. HEAVY.AI vs. JanusGraph vs. SQream DB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEnterprise-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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitecloud.google.com/­datastorewww.ontotext.comgithub.com/­heavyai/­heavydb
www.heavy.ai
janusgraph.orgsqream.com
Technical documentationcloud.google.com/­datastore/­docsgraphdb.ontotext.com/­documentationdocs.heavy.aidocs.janusgraph.orgdocs.sqream.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGoogleOntotextHEAVY.AI, Inc.Linux Foundation; originally developed as Titan by AureliusSQream Technologies
Initial release20082000201620172017
Current release10.4, October 20235.10, January 20220.6.3, February 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAJavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes, 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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyesno
SQL infoSupport of SQLSQL-like query language (GQL)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.Net
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App Enginewell-defined plugin interfaces; JavaScript server-side extensibilitynoyesuser defined functions in Python
TriggersCallbacks using the Google Apps Enginenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoConstraint checkingnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud 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.fine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Google Cloud DatastoreGraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JanusGraph infosuccessor of TitanSQream 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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More resources
Google Cloud DatastoreGraphDB infoformer name: OWLIMHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022JanusGraph infosuccessor of TitanSQream DB
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