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DBMS > EnterpriseDB vs. EsgynDB vs. Microsoft Azure SQL Database vs. Neo4j

System Properties Comparison EnterpriseDB vs. EsgynDB vs. Microsoft Azure SQL Database vs. Neo4j

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Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen source graph database
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.43
Rank#98  Overall
#48  Relational DBMS
Score0.17
Rank#263  Overall
#123  Relational DBMS
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websitewww.enterprisedb.comesgyn.comazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.com
Technical documentationwww.enterprisedb.com/­resources/­product-documentationesgyn.com/­developersdocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docs
DeveloperEnterpriseDBEsgynMicrosoftNeo4j, Inc.
Initial release2005201520102007
Current releaseV10, November 2017V123.5.8, July 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
EDB Postgres Cloud Database Service: Fully managed and Oracle compatible Postgres cloud database service on AWS with high availability, automated failover, streaming logs, enterprise security and easy scale out.Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageCC++, JavaC++Java, Scala
Server operating systemsLinux
Windows
LinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infostandard with numerous extensionsyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored ProceduresTransact SQLyes infoUser defined Procedures and Functions
Triggersyesnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication between multi datacentersyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine 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
EnterpriseDBEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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#GraphCast: “All Graph Databases Are Not Created Equal”
29 November 2019

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

Related products and services

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More resources
EnterpriseDBEsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

EnterpriseDB Named a Challenger in Gartner Magic Quadrant for Operational Database Management Systems
3 December 2019, RealWire

Enterprise Database Market Technology Updates 2019 – Microsoft, Google, Amazon Web Services, Rackspace, MongoLab, EnterpriseDB
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IBM Extends Cloud Pak for Data Strategy to Postgres
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EnterpriseDB Acquired by Great Hill Partners
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10 January 2018, GlobeNewswire

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24 May 2019, PRNewswire

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3 December 2019, Associated Press

Microsoft Azure Introduces Blockchain Data Management Services and Blockchain Tokens
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22 October 2019, PRNewswire

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15 November 2019, News Appear

provided by Google News

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