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DBMS > ArangoDB vs. EXASOL vs. RDF4J vs. Snowflake

System Properties Comparison ArangoDB vs. EXASOL vs. RDF4J vs. Snowflake

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonEXASOL  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.75
Rank#76  Overall
#11  Document stores
#4  Graph DBMS
#11  Key-value stores
#9  Search engines
Score3.70
Rank#90  Overall
#47  Relational DBMS
Score0.67
Rank#209  Overall
#9  RDF stores
Score71.03
Rank#17  Overall
#11  Relational DBMS
Websitewww.arangodb.comwww.exasol.comrdf4j.orgwww.snowflake.com
Technical documentationwww.arangodb.com/­docs/­stablewww.exasol.com/­resourcesrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.html
Social network pagesFacebookLinkedInTwitterInstagramYouTube
DeveloperArangoDB Inc.ExasolSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.
Initial release2012200020042014
Current release3.7.9, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
.Net
JDBC
ODBC
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Java
Lua
Python
R
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functionsyesuser defined functions
Triggersnoyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoHadoop integrationnono
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 infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ArangoDBEXASOLRDF4J infoformerly known as SesameSnowflake
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
News

A Guide to Putting Together a Virtual Conference
22 November 2021

October 2021: What’s the Latest with ArangoDB?
29 October 2021

Announcing ArangoDB Series B Funding
6 October 2021

September 2021: What’s the Latest with ArangoDB?
5 October 2021

ArangoDB Dev Days are Here!
16 September 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
ArangoDBEXASOLRDF4J infoformerly known as SesameSnowflake
DB-Engines blog posts

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

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