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DBMS > GRAKN.AI vs. GridGain vs. Oracle Rdb

System Properties Comparison GRAKN.AI vs. GridGain vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.60
Rank#124  Overall
#22  Key-value stores
#61  Relational DBMS
Score1.00
Rank#150  Overall
#72  Relational DBMS
Websitegrakn.aiwww.gridgain.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationdev.grakn.ai/­docswww.gridgain.com/­docs/­latest
DeveloperGrakn Labs LtdGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201620071984
Current release1.6.1, December 2019GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
HP Open VMS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infoat REST API level; other APIs in progressSecurity Hooks for custom implementations
More information provided by the system vendor
GRAKN.AIGridGainOracle Rdb
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
GRAKN.AIGridGainOracle Rdb
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain and Azul Systems Collaborate to Enable Java for Very Low-Latency Use Cases at Massive Scale
14 November 2019, GlobeNewswire

In-Memory Computing Summit North America 2019 Demonstrates How Companies Are Using In-Memory Computing to Successfully Address Digital Transformation
25 November 2019, GlobeNewswire

GridGain Experts Help Businesses Harness the Power of In-Memory Computing at Multiple Industry Events
12 November 2019, StreetInsider.com

GridGain: Product Overview and Analysis
5 June 2019, eWeek

provided by Google News

Database Types from Hierarchical to Graph: An Industry Breakdown
30 May 2018, Dice Insights

provided by Google News

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