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DBMS > HBase vs. Neo4j vs. Oracle Coherence vs. Titan

System Properties Comparison HBase vs. Neo4j vs. Oracle Coherence vs. Titan

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonNeo4j  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOracles in-memory data grid solutionTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelWide column storeGraph DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score2.02
Rank#131  Overall
#22  Key-value stores
Websitehbase.apache.orgneo4j.comwww.oracle.com/­java/­coherencegithub.com/­thinkaurelius/­titan
Technical documentationhbase.apache.org/­book.htmlneo4j.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencegithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetNeo4j, Inc.OracleAurelius, owned by DataStax
Initial release2008200720072012
Current release2.3.4, January 20215.19, April 202414.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL version3, commercial licenses availablecommercialOpen Source infoApache license, version 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 languageJavaJava, ScalaJavaJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-free, schema definition possibleschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nono
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Lucenenoyes
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JCache
JPA
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoUser defined Procedures and Functionsnoyes
Triggersyesyes infovia event handleryes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)authentification to access the cache via certificates or http basic authenticationUser authentification and security via Rexster Graph Server
More information provided by the system vendor
HBaseNeo4jOracle CoherenceTitan
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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