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DBMS > Apache Phoenix vs. Kinetica vs. Neo4j vs. TimesTen

System Properties Comparison Apache Phoenix vs. Kinetica vs. Neo4j vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFully vectorized database across both GPUs and CPUsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#131  Overall
#63  Relational DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score1.59
Rank#157  Overall
#72  Relational DBMS
Websitephoenix.apache.orgwww.kinetica.comneo4j.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationphoenix.apache.orgdocs.kinetica.comneo4j.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationKineticaNeo4j, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2014201220071998
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1, August 20215.18.1, March 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version3, commercial licenses availablecommercial
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 languageJavaC, C++Java, Scala
Server operating systemsLinux
Unix
Windows
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-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.nonono
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes infoUser defined Procedures and FunctionsPL/SQL
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
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 infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and roles on table levelUsers, 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
Apache PhoenixKineticaNeo4jTimesTen
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
News

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This Week in Neo4j: GenAI, Python, SpringAI, PHP and more
9 March 2024

This Week in Neo4j: GraphAcademy, Algorithms, GenAI, Knowledge Graphs and more
2 March 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Apache PhoenixKineticaNeo4jTimesTen
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