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DBMS > ArangoDB vs. atoti vs. Dgraph vs. ToroDB

System Properties Comparison ArangoDB vs. atoti vs. Dgraph vs. ToroDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonatoti  Xexclude from comparisonDgraph  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed and scalable native Graph DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Object oriented DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Websitearangodb.comatoti.iodgraph.iogithub.com/­torodb/­server
Technical documentationdocs.arangodb.comdocs.atoti.iodgraph.io/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.ActiveViamDgraph Labs, Inc.8Kdata
Initial release201220162016
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
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++JavaGoJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)no
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptPythonno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSynchronous replication via RaftSource-replica replication
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 ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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 controlyesno infoPlanned for future releasesAccess rights for users and roles
More information provided by the system vendor
ArangoDBatotiDgraphToroDB
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
ArangoDBatotiDgraphToroDB
DB-Engines blog posts

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

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20 July 2022, FinSMEs

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