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DBMS > Kinetica vs. Neo4j vs. NSDb vs. OrientDB

System Properties Comparison Kinetica vs. Neo4j vs. NSDb vs. OrientDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonNSDb  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionFully 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 offeringsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSGraph DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websitewww.kinetica.comneo4j.comnsdb.ioorientdb.org
Technical documentationdocs.kinetica.comneo4j.com/­docsnsdb.io/­Architecturewww.orientdb.com/­docs/­last/­index.html
DeveloperKineticaNeo4j, Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2012200720172010
Current release7.1, August 20215.19, April 20243.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache version 2
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 languageC, C++Java, ScalaJava, ScalaJava
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-free and schema-optionalschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
HTTP REST
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and FunctionsnoJava, Javascript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlerHooks
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles; record level security configurable
More information provided by the system vendor
KineticaNeo4jNSDbOrientDB
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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