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DBMS > ArangoDB vs. ClickHouse vs. HugeGraph

System Properties Comparison ArangoDB vs. ClickHouse vs. HugeGraph

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonClickHouse  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA multi-model DBMSColumn-oriented Relational DBMS powering YandexA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSGraph DBMS
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
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score0.07
Rank#295  Overall
#27  Graph DBMS
Websitewww.arangodb.comclickhouse.yandexgithub.com/­hugegraph
Technical documentationwww.arangodb.com/­documentationclickhouse.yandex/­docshugegraph.github.io/­hugegraph-doc
DeveloperArangoDB GmbH / triagens GmbHYandex LLCBaidu
Initial release201220162018
Current release3.5.3, November 2019v19.13.3.26, August 20190.9
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
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++, JavaScriptJava
Server operating systemsLinux
OS X
Raspbian
Solaris
Windows
Linux
macOS
Unix
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 infoalso supports composite index and range index
SQL infoSupport of SQLnono
APIs and other access methodsHTTP API
JSON style queries
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
Server-side scripts infoStored proceduresJavaScriptasynchronous Gremlin script jobs
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graph
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.yes
User concepts infoAccess controlyesUsers, roles and permissions
More information provided by the system vendor
ArangoDBClickHouseHugeGraph
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
ArangoDBClickHouseHugeGraph
DB-Engines blog posts

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

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Recent citations in the news

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

Graph Database Market 2019 SWOT Analysis | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
13 December 2019, News Appear

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

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

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

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Cloud Native Computing Foundation Continues Tremendous Growth, Surpassing 500 Members
19 November 2019, Container Journal

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

provided by Google News

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