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DBMS > Neo4j vs. OrigoDB vs. Splunk vs. Trafodion

System Properties Comparison Neo4j vs. OrigoDB vs. Splunk vs. Trafodion

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplunk  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable, 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 databaseAnalytics Platform for Big DataTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMSDocument store
Object oriented DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteneo4j.comorigodb.comwww.splunk.comtrafodion.apache.org
Technical documentationneo4j.com/­docsorigodb.com/­docsdocs.splunk.com/­Documentation/­Splunktrafodion.apache.org/­documentation.html
DeveloperNeo4j, Inc.Robert Friberg et alSplunk Inc.Apache Software Foundation, originally developed by HP
Initial release20072009 infounder the name LiveDB20032014
Current release5.20, May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Sourcecommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0
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#C++, Java
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-free and schema-optionalyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.no infocan be achieved using .NETyesno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyesyes
SQL infoSupport of SQLnonono infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsBolt 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
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.NetC#
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsyesyesJava Stored Procedures
Triggersyes infovia event handleryes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role based authorizationAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Neo4jOrigoDBSplunkTrafodion
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Neo4jOrigoDBSplunkTrafodion
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