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DBMS > AllegroGraph vs. ArangoDB vs. Sadas Engine

System Properties Comparison AllegroGraph vs. ArangoDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonArangoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score5.80
Rank#64  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score0.09
Rank#307  Overall
#130  Relational DBMS
Websiteallegrograph.comwww.arangodb.comwww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.arangodb.com/­docs/­stablewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperFranz Inc.ArangoDB Inc.SADAS s.r.l.
Initial release200420122006
Current release7.0.0, April 20203.7.2.1, September 20208.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
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++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyes infoRDF schemasschema-free infoautomatically recognizes schema within a collectionyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes
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 infobulk load of XML files possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes
APIs and other access methodsRESTful HTTP API
SPARQL
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScriptno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infosince version 2.0horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with configurable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.noyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphArangoDBSadas Engine
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
One Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Consolidation: 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 9000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

ArangoML Part 1: Where Graphs and Machine Learning Meet
25 September 2020

A story of a memory leak in GO: How to properly use time.After()
14 September 2020

ArangoDB 3.7 – A Big Step Forward for Multi-Model
27 August 2020

ArangoDB Assembles 10,000 GitHub Stargazers
20 July 2020

A Deep And Fuzzy Dive Into Search
16 July 2020

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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
AllegroGraphArangoDBSadas Engine
DB-Engines blog posts

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

show all

Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
22 August 2020, insideBIGDATA

provided by Google News

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

Graph Database: What is It and Why It Matters for Businesses?
25 September 2020, Analytics Insight

Graph Database Market Global Growth, Opportunities, Industry Analysis & Forecast 2026 Oracle, Ibm, Microsoft, Amazon Web Services, Inc
26 September 2020, The Daily Chronicle

GRAPH DATABASE MARKET OUTLOOK TO 2026 LEADING BY INDUSTRY PLAYERS LIKE ORACLE, IBM, MICROSOFT, AMAZON WEB SERVICES, INC., NEO4J, INC., TIBCO SOFTWARE INC
26 September 2020, The Daily Chronicle

Graph Database Market Trend Shows A Rapid Growth By 2026 | DataIntelo
26 September 2020, The Daily Chronicle

provided by Google News

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