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DBMS > EsgynDB vs. Heroic vs. Neo4j vs. OpenQM

System Properties Comparison EsgynDB vs. Heroic vs. Neo4j vs. OpenQM

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHeroic  Xexclude from comparisonNeo4j  Xexclude from comparisonOpenQM infoalso called QM  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 ElasticSearchOpen source graph databaseQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSTime Series DBMSGraph DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#271  Overall
#126  Relational DBMS
Score0.24
Rank#252  Overall
#18  Time Series DBMS
Score51.78
Rank#21  Overall
#1  Graph DBMS
Score0.26
Rank#250  Overall
#10  Multivalue DBMS
Websiteesgyn.comspotify.github.io/­heroic/­#!/­indexneo4j.comwww.openqm.com
Technical documentationesgyn.com/­developersspotify.github.io/­heroic/­#!/­docs/­overviewneo4j.com/­docswww.openqm.com/­support/­documentation
DeveloperEsgynSpotifyNeo4j, Inc.Martin Phillips
Initial release2015201420071993
Current release4.0.2, March 20203.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJava, Scala
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesschema-freeschema-free and schema-optionalyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infovia Elasticsearchyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
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.Net.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoUser defined Procedures and Functionsyes
Triggersnonoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
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 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-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights can be defined down to the item level
More information provided by the system vendor
EsgynDBHeroicNeo4jOpenQM infoalso called QM
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 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 modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
28 March 2020

Q+A with Keith Hare: Newest Neo4j Team Member, Active in the Database Query Standards Process Since 1988
27 March 2020

Announcing Graphs4Good GraphHack
26 March 2020

Getting Started with the Neo4j BI Connector
24 March 2020

The Future of the Intelligent Application: Business Agility
23 March 2020

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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
EsgynDBHeroicNeo4jOpenQM infoalso called QM
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Conferences and events

GraphConnect 2020
Postponed to 2021 due to COVID-19, 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 b..
30 November 2018, Markets Insider

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

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

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

provided by Google News

Humio Unveils Scalability Benchmark Running 100 Terabytes A Day In Real-Time
20 May 2019, Yahoo Finance

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Chart-topper Neo4j makes connections in effort to nudge graph DBs into the mainstream
26 March 2020, The Register

Neo4j CEO talks growing enterprise graph adoption and why partnering with Google makes sense
12 March 2020, Diginomica

Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools
24 March 2020, ZDNet

The Neo4j BI Connector Presents Live Graph Datasets for Analysis
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OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

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