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DBMS > AllegroGraph vs. Neo4j vs. Sadas Engine

System Properties Comparison AllegroGraph vs. Neo4j vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSADAS 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
Graph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#148  Overall
#25  Document stores
#13  Graph DBMS
#7  RDF stores
Score57.16
Rank#18  Overall
#1  Graph DBMS
Score0.00
Rank#354  Overall
#143  Relational DBMS
Websiteallegrograph.comneo4j.comwww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperFranz Inc.Neo4j, Inc.SADAS s.r.l.
Initial release200420072006
Current release7.0.0, April 20204.3.2, July 20218.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGPL version3, commercial licenses 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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC++
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeyes infoRDF schemasschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes
APIs and other access methodsRESTful HTTP API
SPARQL
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
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 authenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphNeo4jSadas Engine
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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23 July 2021

Certified Neo4j Professional T-Shirts Are Back!
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This Week in Neo4j – Data Journalism NYPD, Django Admin, Visualization Talks, CEO Podcast, Write Performance, Java GraphQL
17 July 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AllegroGraphNeo4jSadas Engine
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