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DBMS > Grakn vs. SiriDB

System Properties Comparison Grakn vs. SiriDB

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Open Source Time Series DBMS
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.
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#203  Overall
#18  Graph DBMS
#100  Relational DBMS
Score0.04
Rank#316  Overall
#28  Time Series DBMS
Websitegrakn.aisiridb.net
Technical documentationdev.grakn.ai/­docsdocs.siridb.net
DeveloperGrakn LabsTransceptor Technology
Initial release20162017
Current release1.8.4, November 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric data
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 indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoby using Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progresssimple rights management via user accounts
More information provided by the system vendor
GraknSiriDB
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
News

Grakn 2.0 Alpha: best practices of Distributed Systems and Computer Science
13 January 2021

Discover, Build, Inspire with Grakn - We’ll take care of the swag!
18 August 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 2020

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

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More resources
GraknSiriDB
Recent citations in the news

Object Recognition With SPOT from Boston Robotics
10 December 2020, hackernoon.com

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

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

Big Data In The Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts – The Courier
13 January 2021, The Courier

What Is an Ontology?
15 March 2017, DZone News

provided by Google News

Transceptor Technology Open Sources the Time Series Database SiriDB
1 February 2017, PR Newswire

provided by Google News




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