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DBMS > ArangoDB vs. GRAKN.AI vs. RocksDB

System Properties Comparison ArangoDB vs. GRAKN.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonRocksDB  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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
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.
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.87
Rank#64  Overall
#11  Document stores
#4  Graph DBMS
#12  Key-value stores
#7  Search engines
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score2.42
Rank#99  Overall
#18  Key-value stores
Websitewww.arangodb.comgrakn.airocksdb.org
Technical documentationwww.arangodb.com/­documentationdev.grakn.ai/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperArangoDB GmbH / triagens GmbHGrakn Labs LtdFacebook, Inc.
Initial release201220162013
Current release3.5.3, November 20191.6.1, December 20196.3.6, October 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL Version 3, commercial licenses availableOpen Source infoBSD
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.
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++, JavaScriptJavaC++
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesno
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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP API
JSON style queries
console (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Java API
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoby using Apache Kafka and Apache Zookeeperno
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 featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
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.noyes
User concepts infoAccess controlyesyes infoat REST API level; other APIs in progressno
More information provided by the system vendor
ArangoDBGRAKN.AIRocksDB
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

ArangoDB and the Cloud Native Ecosystem
20 November 2019

Say Hi To ArangoDB Oasis: A Fully-Managed Multi-Model Database Service
14 November 2019

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBGRAKN.AIRocksDB
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

Open Source ArangoDB Launches Managed Service for Enterprises
14 November 2019, ADT Magazine

Global Graph Database Market 2019 Datastax, triAGENS GmbH(Arango DB), Cayley, Apache(Apache Giraph, AWS, SAP
11 December 2019, Exclusive Industry Reports

Graph Database Market 2019 Growth Strategies | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
5 December 2019, Premier Herald 24

ArangoDB Joins Cloud Native Computing Foundation
21 November 2019, PR Web

Graph Database Market 2019 Impressive Growth by 2025 | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
15 November 2019, News Appear

provided by Google 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

AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database
17 October 2019, Phoronix

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

Alluxio Bolsters Data Orchestration for Hybrid Cloud World
11 July 2019, Datanami

MariaDB Adding Support for Facebook MyRocks
8 December 2016, DZone News

provided by Google News

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