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DBMS > ArangoDB vs. Grakn

System Properties Comparison ArangoDB vs. Grakn

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGrakn  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.51
Rank#69  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score0.77
Rank#194  Overall
#17  Graph DBMS
#95  Relational DBMS
Websitewww.arangodb.comgrakn.ai
Technical documentationwww.arangodb.com/­docs/­stabledev.grakn.ai/­docs
DeveloperArangoDB Inc.Grakn Labs
Initial release20122016
Current release3.7.2.1, September 20201.8.4, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGPL Version 3, commercial licenses available
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.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresJavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.no
User concepts infoAccess controlyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
ArangoDBGrakn
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more
News

ArangoML Series: Intro to the NetworkX Adapter
23 November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5 November 2020

ArangoML Part 3: Bootstrapping and Bias Variance
24 October 2020

ArangoML Part 2: Basic Arangopipe Workflow
9 October 2020

ArangoML Part 1: Where Graphs and Machine Learning Meet
25 September 2020

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

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Related products and services

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More resources
ArangoDBGrakn
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

Recent citations in the news

ArangoDB Named to Accel Open100 and Tracxn Emerging Startups 2020
12 November 2020, PR Web

Document Databases Software Market Future Scope including key players MongoDB, Amazon, ArangoDB
30 November 2020, Cheshire Media

Global Graph Database Market Set for Rapid Growth in the Forecast Period 2020–2026 – Zion Market Research
1 December 2020, Murphy's Hockey Law

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

Graph Database Market Report Top-Vendor Offerings And By End-User Segments Forecasted Till 2026
1 December 2020, The Haitian-Caribbean News Network

provided by Google News

Big Data in the Automotive Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
29 November 2020, Khabar South Asia

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

Potential impact of coronavirus outbreak on Big Data In The Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
29 November 2020, Khabar South Asia

What Is an Ontology?
15 March 2017, DZone News

provided by Google News

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