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DBMS > ArangoDB vs. AriaSQL vs. JanusGraph vs. Memgraph

System Properties Comparison ArangoDB vs. AriaSQL vs. JanusGraph vs. Memgraph

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonAriaSQL  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.AriaSQL is a relational database server. Implements ANSI SQL.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#88  Overall
#14  Document stores
#4  Graph DBMS
#13  Key-value stores
#9  Search engines
Score1.78
Rank#127  Overall
#10  Graph DBMS
Score2.54
Rank#98  Overall
#8  Graph DBMS
Websitearangodb.comariasql.com
github.com/­ariasql
janusgraph.orgmemgraph.com
Technical documentationdocs.arangodb.comdocs.janusgraph.orgmemgraph.com/­docs
DeveloperArangoDB Inc.Linux Foundation; originally developed as Titan by AureliusMemgraph Ltd
Initial release2012202420172017
Current release3.11.5, November 2023Alpha development phase1.0.0, October 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableAGPLOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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 SQLnonono
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Bolt protocol
Cypher query language
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Clojure
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJavaScriptyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0yes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infovia Faunus, a graph analytics engineno
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)
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUser authentification and security via Rexster Graph ServerUsers, roles and permissions

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More resources
ArangoDBAriaSQLJanusGraph infosuccessor of TitanMemgraph
DB-Engines blog posts

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

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