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DBMS > Google BigQuery vs. GRAKN.AI vs. JanusGraph

System Properties Comparison Google BigQuery vs. GRAKN.AI vs. JanusGraph

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.56
Rank#26  Overall
#15  Relational DBMS
Score0.27
Rank#249  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.88
Rank#120  Overall
#7  Graph DBMS
Websitecloud.google.com/­bigquerygrakn.aijanusgraph.org
Technical documentationcloud.google.com/­bigquery/­docsdev.grakn.ai/­docsdocs.janusgraph.org
DeveloperGoogleGrakn Labs LtdLinux Foundation; originally developed as Titan by Aurelius
Initial release201020162017
Current release1.6.2, January 20200.4.0, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnono
APIs and other access methodsRESTful HTTP/JSON APIconsole (shell)
gRPC protocol
Workbase (visualisation software)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)yes infoat REST API level; other APIs in progressUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Google BigQueryGRAKN.AIJanusGraph infosuccessor of Titan
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Google BigQueryGRAKN.AIJanusGraph infosuccessor of Titan
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