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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Database 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
Score0.17
Rank#263  Overall
#123  Relational DBMS
Score12.11
Rank#39  Overall
#24  Relational DBMS
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websiteesgyn.compivotal.io/­pivotal-greenplumazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.com
Technical documentationesgyn.com/­developersgpdb.docs.pivotal.iodocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docs
DeveloperEsgynPivotal Software Inc.MicrosoftNeo4j, Inc.
Initial release2015200520102007
Current release5.10.0, July 2018V123.5.8, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen 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.
Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageC++, JavaC++Java, Scala
Server operating systemsLinuxLinuxhostedLinux 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.noyes infosince Version 4.2yes
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
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 languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.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 proceduresJava Stored ProceduresyesTransact SQLyes infoUser defined Procedures and Functions
Triggersnoyesyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-slave replicationyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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 datayesyesyesyes
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
EsgynDBGreenplumMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
Specific characteristicsCapabilities 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 advantagesEsgynDB 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 scenariosIdeally 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 customersEsgynDB'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 metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsEsgynDB 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

This Week in Neo4j – Schema-Based Security, Starwars Galaxy Graph, Querying Wikidata
14 December 2019

#GraphCast: The Graphistania Podcast Is Back!
13 December 2019

Demographics Master Data at Citigroup
12 December 2019

This Week in Neo4j – Full Text Search Tips and Tricks, Learning Geography, MongoDB to Graph
7 December 2019

Graphs on GPUs: 5-Minute Interview with Saul Rosales
6 December 2019

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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
EsgynDBGreenplumMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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Conferences and events

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

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