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DBMS > Kinetica vs. Neo4j vs. ScyllaDB vs. TigerGraph

System Properties Comparison Kinetica vs. Neo4j vs. ScyllaDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonScyllaDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOpen source graph databaseCassandra-compatible wide column storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#200  Overall
#97  Relational DBMS
Score51.78
Rank#21  Overall
#1  Graph DBMS
Score2.16
Rank#108  Overall
#8  Wide column stores
Score0.90
Rank#159  Overall
#12  Graph DBMS
Websitewww.kinetica.comneo4j.comwww.scylladb.comwww.tigergraph.com
Technical documentationwww.kinetica.com/­docsneo4j.com/­docsdocs.scylladb.comdocs.tigergraph.com
DeveloperKineticaNeo4j, Inc.ScyllaDB
Initial release2012200720152017
Current release6.04.0.2, March 2020Scylla Open Source 3.2.3, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoOpen Source (AGPL), commercial license 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.
Implementation languageC, C++Java, ScalaC++C++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-free and schema-optionalschema-freeyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL)SQL-like query language (GSQL)
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
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GSQL (TigerGraph Query Language)
Kafka
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
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoin-memory tablesno
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 can be defined per objectRole-based access control
More information provided by the system vendor
KineticaNeo4jScyllaDBTigerGraph
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more
News

Q+A with Keith Hare: Newest Neo4j Team Member, Active in the Database Query Standards Process Since 1988
27 March 2020

Announcing Graphs4Good GraphHack
26 March 2020

Getting Started with the Neo4j BI Connector
24 March 2020

The Future of the Intelligent Application: Business Agility
23 March 2020

This Week in Neo4j – Graphs4Good Hackathon, Twitch Session, Cypher Projections, Query Log Analyzer, Go Driver
21 March 2020

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

Related products and services

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More resources
KineticaNeo4jScyllaDBTigerGraph
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Conferences and events

GraphConnect 2020
Postponed to 2021 due to COVID-19, 20-22 April 2020

Recent citations in the news

GPU Database Market to Witness Huge Growth by 2027 | Kinetica DB , Neo4j, OmniSci, SQream Technologies
27 March 2020, Skyline Gazette

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Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
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Kinetica Recognized by InfoWorld as 2020 Technology of the Year
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Scylla review: Apache Cassandra supercharged
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TigerGraph Enhances Its Graph Database and Analytics Solution
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16 March 2020, The Register

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provided by Google News

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