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DBMS > Kinetica vs. Neo4j

System Properties Comparison Kinetica vs. Neo4j

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Our visitors often compare Kinetica and Neo4j with Snowflake, MongoDB and Redis.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOpen source graph database
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#191  Overall
#94  Relational DBMS
Score51.34
Rank#21  Overall
#1  Graph DBMS
Websitewww.kinetica.comneo4j.com
Technical documentationwww.kinetica.com/­docsneo4j.com/­docs
DeveloperKineticaNeo4j, Inc.
Initial release20122007
Current release6.04.1.3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, Scala
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL-like DML and DDL statementsno
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
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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)
More information provided by the system vendor
KineticaNeo4j
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

GRANDstack: Graphs All the Way Down
28 October 2020

Graphistania Podcast: Authors Discuss Graph Databases For Dummies
27 October 2020

This Week in Neo4j – Graph-Native Machine Learning in Neo4j, All About Super Nodes, Quick prototyping with GRAND stack
24 October 2020

#GraphCast: Graph Data Science Library
23 October 2020

Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!
22 October 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KineticaNeo4j
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2 March 2016, Paul Andlinger

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22 December 2015, Emil Eifrem (guest author)

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Recent citations in the news

Astonishing growth in Gpu database Market Business Opportunities and Global Industry Analysis by 2026 – Top Companies Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
29 October 2020, Global Analytics Market

GPU Database Market To Witness Huge Growth By 2027 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
29 October 2020, Aerospace Journal

Global GPU Database Market 2020 Growth Analysis and Massive Trends by Premium-Insight Players:- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB, Zilliz, SQream, Jedox, HeteroDB, Blazegraph, H2O.ai, FASTDATA.io, Fuzzy Logix, Graphistry
26 October 2020, Eurowire

Global GPU Database Market Expected to Reach Highest CAGR By 2026: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
28 October 2020, PRnews Leader

Global GPU Database Market Insights 2019-2024 || Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai & more
23 October 2020, Zenit News

provided by Google News

Neo4j Is the Choice of Leading Companies for Graph Databases in the Cloud
20 October 2020, Yahoo Finance

Neo4j Announces Graph Machine Learning Framework
27 October 2020, iProgrammer

Google, NASA, PayPal and the World Bank to Headline Neo4j's NODES 2020 Developer Conference
14 October 2020, PRNewswire

Astonishing growth in Gpu database Market Business Opportunities and Global Industry Analysis by 2026 – Top Companies Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
29 October 2020, Global Analytics Market

Learning Graph Databases Just Got a Whole Lot Easier
5 October 2020, Datanami

provided by Google News

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