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DBMS > EsgynDB vs. Heroic vs. JSqlDb vs. Microsoft Azure SQL Database vs. Neo4j

System Properties Comparison EsgynDB vs. Heroic vs. JSqlDb vs. Microsoft Azure SQL Database vs. Neo4j

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHeroic  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchJavaScript Query Language Database, stores JavaScript objects and primitivesDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen source graph database
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#266  Overall
#125  Relational DBMS
Score0.27
Rank#248  Overall
#16  Time Series DBMS
Score0.00
Rank#334  Overall
#46  Document stores
#19  Object oriented DBMS
Score31.41
Rank#25  Overall
#14  Relational DBMS
Score51.21
Rank#22  Overall
#1  Graph DBMS
Websiteesgyn.comspotify.github.io/­heroic/­#!/­indexjsqldb.orgazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.com
Technical documentationesgyn.com/­developersspotify.github.io/­heroic/­#!/­docs/­overviewdocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docs
DeveloperEsgynSpotifyKonrad von BackstromMicrosoftNeo4j, Inc.
Initial release20152014201820102007
Current release0.8, December 2018V124.0.0, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++Java, Scala
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes
Secondary indexesyesyes infovia Elasticsearchnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
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.NetJavaScript.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 Proceduresnofunctions in JavaScriptTransact SQLyes infoUser defined Procedures and Functions
Triggersnononoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersyesnoneyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
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-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
EsgynDBHeroicJSqlDbMicrosoft 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

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26 February 2020

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22 February 2020

#GraphCast: Migrating from Neo4j 3.5 to 4.0
21 February 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
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
EsgynDBHeroicJSqlDbMicrosoft 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

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