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DBMS > EventStoreDB vs. Greenplum vs. Neo4j vs. OrigoDB

System Properties Comparison EventStoreDB vs. Greenplum vs. Neo4j vs. OrigoDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGreenplum  Xexclude from comparisonNeo4j  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA fully ACID in-memory object graph database
Primary database modelEvent StoreRelational DBMSGraph DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#174  Overall
#1  Event Stores
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Websitewww.eventstore.comgreenplum.orgneo4j.comorigodb.com
Technical documentationdevelopers.eventstore.comdocs.greenplum.orgneo4j.com/­docsorigodb.com/­docs
DeveloperEvent Store LimitedPivotal Software Inc.Neo4j, Inc.Robert Friberg et al
Initial release2012200520072009 infounder the name LiveDB
Current release21.2, February 20217.0.0, September 20235.18.1, March 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC#
Server operating systemsLinux
Windows
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.yes infosince Version 4.2no infocan be achieved using .NET
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
Perl
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and Functionsyes
Triggersyesyes infovia event handleryes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyes infoRelationships in graphsdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
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-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role based authorization
More information provided by the system vendor
EventStoreDBGreenplumNeo4jOrigoDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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