DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNeo4j  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen source graph databaseA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational 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
Score27.89
Rank#25  Overall
#14  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websiteesgyn.comazure.microsoft.com/­en-us/­services/­sql-databaseneo4j.comwww.omnisci.com
Technical documentationesgyn.com/­developersdocs.microsoft.com/­en-us/­azure/­sql-databaseneo4j.com/­docsdocs.omnisci.com/­latest
DeveloperEsgynMicrosoftNeo4j, Inc.MapD Technologies, Inc.
Initial release2015201020072016
Current releaseV123.5.8, July 2019V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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, ScalaC++ and CUDA
Server operating systemsLinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-free and schema-optionalyes
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.noyesno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsADO.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
JDBC
ODBC
Thrift
Supported programming languagesAll 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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Stored ProceduresTransact SQLyes infoUser defined Procedures and Functionsno
Triggersnoyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersyes, with always 3 replicas availableCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyes
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)fine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4jOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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
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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureNeo4jOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Conferences and events

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

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

Microsoft Announces Azure Blockchain Tokens and Blockchain Data Manager
9 December 2019, Database Trends and Applications

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

SentryOne Rounds Out 2019 With Six New Awards
10 December 2019, StreetInsider.com

How to share SQL tables and views using Azure Data Share - Microsoft
29 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

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

GPU Database Market 2018-2027 Regional Analysis, Industry Size, Emerging Trends and Top Manufacturers are Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies
10 December 2019, Downey Magazine

provided by Google News

OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market 2018-2027 Regional Analysis, Industry Size, Emerging Trends and Top Manufacturers are Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies
10 December 2019, Downey Magazine

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
12 November 2019, VaporBlash

provided by Google News

Job opportunities

SQL Server Database Administrator
City of Philadelphia, Philadelphia, PA

SQL Database Administrator
Plante Moran, Southfield, MI

Lead Database Engineer - Azure SQL (DBaaS)
MasterCard, Arlington, VA

SQL Escalation Engineer
Microsoft, Charlotte, NC

Cloud SQL Server DBA
Revenue Solutions, Inc., Roseville, CA

AI Scientist (PwC Labs)
PwC, Tampa, FL

Solution Architect
EY, United States

Data Analyst - Neo4J - Data Scientist
Capgemini, Atlanta, GA

Computer Scientist - Level 1
Pacific Northwest National Laboratory, Richland, WA

Data Scientist
Colsh Consultants, Georgia

Application Support Engineer (Eastern US)
OmniSci, Remote

Senior Database Engineer
OmniSci, San Francisco, CA

Lead Application Support Engineer (Bay Area preferred)
OmniSci, Remote

Sales Director - Department of Defense
OmniSci, Washington, DC

Software Engineer - Backend Team
OmniSci, San Francisco, CA

jobs by Indeed




Share this page

Featured Products


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Present your product here