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DBMS > ArangoDB vs. Fauna vs. Snowflake

System Properties Comparison ArangoDB vs. Fauna vs. Snowflake

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonFauna  Xexclude from comparisonSnowflake  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 (previously named FaunaDB) 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.Cloud-based data warehousing service for structured and semi-structured data
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
Score4.79
Rank#75  Overall
#10  Document stores
#3  Graph DBMS
#11  Key-value stores
#8  Search engines
Score1.73
Rank#131  Overall
#22  Document stores
#11  Graph DBMS
#65  Relational DBMS
#9  Time Series DBMS
Score52.07
Rank#21  Overall
#14  Relational DBMS
Websitewww.arangodb.comfauna.comwww.snowflake.com
Technical documentationwww.arangodb.com/­docs/­stabledocs.fauna.comdocs.snowflake.net/­manuals/­index.html
DeveloperArangoDB Inc.Fauna, Inc.Snowflake Computing Inc.
Initial release201220142014
Current release3.7.9, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
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++Scala
Server operating systemsLinux
OS X
Windows
hostedhosted
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyes
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.noyes
Secondary indexesyesyes
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 APICLI Client
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functionsuser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning infoconsistent hashingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replicationyes
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 graphsyesyes
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.nono
User concepts infoAccess controlyesIdentity management, authentication, and access controlUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ArangoDBFaunaSnowflake
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
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Serverless database delivered as an API Web-native security model with attribute...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
100% serverless , no connection pooling bottlenecks, or cold starts unlike legacy...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Javascript apps Serverless backends for microservices Cloud-native apps B2B and B2C...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
ShiftX
» 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...
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Usage-based pricing including a free tier
» more
News

ArangoDB Dev Days are Here!
16 September 2021

August 2021: What’s the Latest with ArangoDB?
31 August 2021

ArangoSync: A Recipe for Reliability
18 August 2021

A Comprehensive Case-Study of GraphSage using PyTorchGeometric and Open-Graph-Benchmark
13 August 2021

Community Notebook Challenge
13 August 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBFaunaSnowflake
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

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