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DBMS > Kinetica vs. Neo4j vs. RavenDB vs. TerminusDB

System Properties Comparison Kinetica vs. Neo4j vs. RavenDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSGraph DBMSDocument storeGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.kinetica.comneo4j.comravendb.netterminusdb.com
Technical documentationdocs.kinetica.comneo4j.com/­docsravendb.net/­docsterminusdb.github.io/­terminusdb/­#
DeveloperKineticaNeo4j, Inc.Hibernating RhinosDataChemist Ltd.
Initial release2012200720102018
Current release7.1, August 20215.20, May 20245.4, July 202211.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
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, ScalaC#Prolog, Rust
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (RQL)SQL-like query language (WOQL)
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
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functionsyesyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handleryesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
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)Authorization levels configured per client per databaseRole-based access control
More information provided by the system vendor
KineticaNeo4jRavenDBTerminusDB infoformer name was DataChemist
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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