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DBMS > ArangoDB vs. ClickHouse vs. Riak KV

System Properties Comparison ArangoDB vs. ClickHouse vs. Riak KV

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonClickHouse  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Column-oriented Relational DBMS powering YandexDistributed, fault tolerant key-value store
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.73
Rank#75  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score9.59
Rank#46  Overall
#29  Relational DBMS
Score5.10
Rank#68  Overall
#9  Key-value stores
Websitewww.arangodb.comclickhouse.techriak.com/­products/­riak-kv
Technical documentationwww.arangodb.com/­docs/­stableclickhouse.tech/­docs
DeveloperArangoDB Inc.Yandex LLCBasho Technologies
Initial release201220162009
Current release3.7.9, March 2021v20.11.3.3-stable, November 20202.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
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 –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++C++Erlang
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Linux
OS X
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 indexesyesnorestricted
SQL infoSupport of SQLnoClose to ANSI SQLno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP REST
JDBC
ODBC
Proprietary protocol
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJavaScriptnoJavaScript and Erlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yes
User concepts infoAccess controlyesAccess rights for users and rolesno
More information provided by the system vendor
ArangoDBClickHouseRiak KV
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» 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
News

Inside the Avocado Grove: From Canada to Germany and the Digital Marketing of Avocados
25 June 2021

Word Embeddings in ArangoDB
25 June 2021

June 2021: What’s the Latest with ArangoDB?
25 June 2021

Introducing Developer Deployments on ArangoDB Oasis
8 June 2021

ArangoBnB: Data Preparation Case Study
1 June 2021

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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
ArangoDBClickHouseRiak KV
DB-Engines blog posts

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

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