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DBMS > AllegroGraph vs. Microsoft SQL Server vs. Neo4j

System Properties Comparison AllegroGraph vs. Microsoft SQL Server vs. Neo4j

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMicrosofts relational DBMSOpen source graph database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score1075.87
Rank#3  Overall
#3  Relational DBMS
Score50.18
Rank#21  Overall
#1  Graph DBMS
Websiteallegrograph.comwww.microsoft.com/­en-us/­sql-serverneo4j.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationneo4j.com/­docs
DeveloperFranz Inc.MicrosoftNeo4j, Inc.
Initial release200419892007
Current release7.0.0, April 2020SQL Server 2019, November 20194.1.1, July 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial inforestricted free version is availableOpen Source infoGPL version3, commercial licenses 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.
Implementation languageC++Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-free and schema-optional
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 possibleyes
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSPARQL is used as query languageyesno
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoUser defined Procedures and Functions
Triggersyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeswith Federationtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
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 configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AllegroGraphMicrosoft SQL ServerNeo4j
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

This Week in Neo4j – Exploring DBpedia with neosemantics, Graph Database Based Apps, New Elixir driver
1 August 2020

#GraphCast: How to Solve a Crime with Graph Theory
31 July 2020

Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
29 July 2020

Introducing Neo4j Partner Program: An Interview with Matt Connon
27 July 2020

This Week in Neo4j – Rock ‘n’ Roll Traffic Routing, Correlated Subqueries, Graph-Powered Machine Learning
25 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
AllegroGraphMicrosoft SQL ServerNeo4j
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Recent citations in the news

KMWorld AI 50: The Companies Empowering Intelligent Knowledge Management
7 July 2020, KMWorld Magazine

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

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

Three Necessities For Maximizing Your Digital Twins Approach
4 November 2019, Forbes

Franz AllegroGraph 7 Provides Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, Database Trends and Applications

provided by Google News

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22 July 2020, Redmondmag.com

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28 July 2020, PRNewswire

Benchmarking SQL Server and Azure SQL with WorkloadTools | Data Exposed - Microsoft
21 July 2020, Channel 9

Amazon RDS for SQL Server reduces prices on Enterprise Edition in the Multi-AZ configuration
28 July 2020, idk.dev

provided by Google News

Report: GPU Database Market Study 2020-26 Kinetica DB, OmniSci, Neo4j
3 August 2020, The Diamond Report

Neo4j 4.0 adds enterprise Fabric to its graph database
4 February 2020, ZDNet

Neo4j Updates Graph Database -- ADTmag
6 February 2020, ADT Magazine

Neo4j Extends Graph Databases to the Relational World
1 April 2020, ITPro Today

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