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DBMS > ArangoDB vs. Fauna vs. SQream DB

System Properties Comparison ArangoDB vs. Fauna vs. SQream DB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.22
Rank#84  Overall
#14  Document stores
#5  Graph DBMS
#11  Key-value stores
#10  Search engines
Score1.63
Rank#155  Overall
#28  Document stores
#14  Graph DBMS
#70  Relational DBMS
#13  Time Series DBMS
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websitearangodb.comfauna.comsqream.com
Technical documentationdocs.arangodb.comdocs.fauna.comdocs.sqream.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Fauna, Inc.SQream Technologies
Initial release201220142017
Current release3.11.5, November 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. 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++ScalaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyes, ANSI Standard SQL Types
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 indexesyesyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP API.Net
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functionsuser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning infoconsistent hashinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.no
User concepts infoAccess controlyesIdentity management, authentication, and access control
More information provided by the system vendor
ArangoDBFauna infopreviously named FaunaDBSQream DB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» 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 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
ArangoDBFauna infopreviously named FaunaDBSQream DB
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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