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

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Database as a Service offering with high compatibility to Microsoft SQL ServerOpen source graph database
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#263  Overall
#123  Relational DBMS
Score1.75
Rank#118  Overall
#6  Graph DBMS
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websiteesgyn.comjanusgraph.orgazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.com
Technical documentationesgyn.com/­developersdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docs
DeveloperEsgynLinux Foundation; originally developed as Titan by AureliusMicrosoftNeo4j, Inc.
Initial release2015201720102007
Current release0.4.0, July 2019V123.5.8, 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++, JavaJavaC++Java, Scala
Server operating systemsLinuxLinux
OS X
Unix
Windows
hostedLinux 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.nonoyes
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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.NetClojure
Java
Python
.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 nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersyesyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenono
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 integrityyesyes infoRelationships in graphsyesyes 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 persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine 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
EsgynDBJanusGraph infosuccessor of TitanMicrosoft 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 – Full Text Search Tips and Tricks, Learning Geography, MongoDB to Graph
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Graphs on GPUs: 5-Minute Interview with Saul Rosales
6 December 2019

Graphing Space and Time
4 December 2019

This Week in Neo4j – Building a Fashion Knowledge Graph, Carrefour Basket Dataset Challenge, Community detection on Game of Thrones, Analysing Network Traffic
30 November 2019

#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.

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More resources
EsgynDBJanusGraph infosuccessor of TitanMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
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Conferences and events

GraphConnect 2020
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