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DBMS > EsgynDB vs. GRAKN.AI vs. Microsoft Azure SQL Database vs. Neo4j

System Properties Comparison EsgynDB vs. GRAKN.AI vs. Microsoft Azure SQL Database vs. Neo4j

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Database as a Service offering with high compatibility to Microsoft SQL ServerOpen source graph database
Primary database modelRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational 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
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websiteesgyn.comgrakn.aiazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.com
Technical documentationesgyn.com/­developersdev.grakn.ai/­docsdocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docs
DeveloperEsgynGrakn Labs LtdMicrosoftNeo4j, Inc.
Initial release2015201620102007
Current release1.6.1, December 2019V123.5.8, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen 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
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
console (shell)
gRPC protocol
Workbase (visualisation software)
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.NetAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.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 ProceduresnoTransact SQLyes infoUser defined Procedures and Functions
Triggersnonoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-master replication infoby using Cassandrayes, 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 infoby using Apache Kafka and Apache Zookeepernono
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 integrityyesno infosubstituted by the relationship featureyesyes 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-standardyes infoat REST API level; other APIs in progressfine 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
EsgynDBGRAKN.AIMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» 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
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» 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
Life sciences : Grakn makes working with biological data much easier and accelerates...
» 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
AGPL and Commercial . The commercial license is priced based on cluster resources...
» 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
7 December 2019

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

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
EsgynDBGRAKN.AIMicrosoft Azure SQL Database infoformerly SQL AzureNeo4j
DB-Engines blog posts

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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

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

Recent citations in the news

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

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Overview of Azure SQL Database Networking
25 November 2019, Database Journal

IDERA SQL Diagnostic Manager for SQL Server 10.5 Expands Performance Monitoring On-Premises and in the Cloud
3 December 2019, Associated Press

How to share SQL tables and views using Azure Data Share - Microsoft
29 November 2019, Channel 9

Microsoft shows off hybrid cloud management and cloud analytics tools at Ignite
14 November 2019, CIO

Discovering, classifying, labeling & protecting SQL data – now available for all - Microsoft
21 November 2019, Channel 9

provided by Google News

Neo4J Launches Cloud Graph Database
13 November 2019, iProgrammer

Neo4j Releases Native Graph Database as a Service Platform
12 November 2019, Database Trends and Applications

Neo4j Unveils New Fully-Managed Graph Database Called Neo4j Aura
7 November 2019, Solutions Review

Graph Database Market 2019 Growth Strategies | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
5 December 2019, Premier Herald 24

Neo4j is the Graph Database of Choice for World's Top Financial Services Organizations
22 October 2019, PRNewswire

provided by Google News

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