DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ArangoDB vs. GRAKN.AI

System Properties Comparison ArangoDB vs. GRAKN.AI

Please select another system to include it in the comparison.

Our visitors often compare ArangoDB and GRAKN.AI with Neo4j, Dgraph and JanusGraph.

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparison
DescriptionA multi-model DBMSGrakn 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
Score5.02
Rank#64  Overall
#12  Document stores
#4  Graph DBMS
#11  Key-value stores
#7  Search engines
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Websitewww.arangodb.comgrakn.ai
Technical documentationwww.arangodb.com/­documentationdev.grakn.ai/­docs
DeveloperArangoDB GmbH / triagens GmbHGrakn Labs Ltd
Initial release20122016
Current release3.5.0, August 20191.5.8, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open 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: Built and supported by the creators of ArangoDB, Oasis provides fully hosted, managed, and monitored cluster deployments of any size, with enterprise-grade security.
Implementation languageC, C++, JavaScriptJava
Server operating systemsLinux
OS X
Raspbian
Solaris
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 methodsHTTP API
JSON style queries
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 nodesMaster-slave replicationMaster-master 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
Immediate Consistency
Foreign keys infoReferential integritynono 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.AI
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

How we built our managed service on Kubernetes
25 October 2019

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots
9 October 2019

ArangoML Pipeline – A Common Metadata Layer for Machine Learning Pipelines
25 September 2019

libgcc: When exceptions collide
19 September 2019

Multi-Model Database ArangoDB 3.5 released – Distributed Joins, Streaming Transactions, extended GraphDB & Search Capabilities
19 August 2019

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArangoDBGRAKN.AI
DB-Engines blog posts

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

show all

Conferences and events

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

Recent citations in the news

Graph Databases Software Market Increasing Demand with Leading key players:DataStax, IBM, Twitter, ArangoDB & More.
13 November 2019, Eastlake Times

Global Graph Database Market Analysis of Research Report (2020 – 2029) : IBM, Microsoft, Oracle
12 November 2019, 5Gigs News

NoSQL Databases Software Market Report Enhancement By 2026 With Latest Technology & Future Scope: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
12 November 2019, Market Report Gazette

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

Graph Database Market 2019 Status Analysis : triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
16 October 2019, News Adopt

provided by Google News

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

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

5 high-tech startups chosen to join Bristol's Oracle Startup Cloud Accelerator Program
21 September 2017, TechSPARK

provided by Google News

Job opportunities

Sr. Principal Staff Software Engineer
Veritas Technologies, Santa Clara, CA

Senior Software Engineer
Cybernetic Search, Los Angeles, CA

Senior Software Engineer - Data Platform
Tenfold, San Francisco, CA

Big Data Cloud Engineer (Digital Health)
Partners HealthCare(PHS), Somerville, MA

Senior Software Engineer
Cybernetic Search, Los Angeles County, CA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here