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DBMS > Kinetica vs. Neo4j vs. ScyllaDB vs. TerarkDB

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

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonScyllaDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsOpen source graph databaseCassandra-compatible wide column storeA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSGraph DBMSWide column storeKey-value store
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
Score0.06
Rank#308  Overall
#51  Key-value stores
Websitewww.kinetica.comneo4j.comwww.scylladb.comgithub.com/­Terark/­terarkdb
Technical documentationwww.kinetica.com/­docsneo4j.com/­docsdocs.scylladb.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperKineticaNeo4j, Inc.ScyllaDBTerark
Initial release2012200720152016
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 inforestricted open source version available
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
Linux
Data schemeyesschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indicesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL)no
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
C++ API
Java 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 Functionsnono
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 nodesShardingnoneShardingnone
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 possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsno
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 tablesyes
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 objectno
More information provided by the system vendor
KineticaNeo4jScyllaDBTerarkDB
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

Detecting Cryptocurrency Fraud with Neo4j
30 March 2020

This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
28 March 2020

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

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

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More resources
KineticaNeo4jScyllaDBTerarkDB
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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

Barghest Building Performance (BBP) Selects Kinetica Active Analytics Powered by NVIDIA GPUs to Harness the Power of Building Sensor Data
11 March 2020, Valdosta Daily Times

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

GPU Database Market Report by Geographical Segmentation 2020 Kinetica, Omnisci, Sqream
2 March 2020, NJ MMA News

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

Kinetica Recognized by InfoWorld as 2020 Technology of the Year
10 February 2020, Yahoo Finance

provided by Google News

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Chart-topper Neo4j makes connections in effort to nudge graph DBs into the mainstream
26 March 2020, The Register

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24 March 2020, ZDNet

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provided by Google News

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9 April 2019, AiThority

ScyllaDB Smashes Performance Record, Hits 1,000,000,000 RPS
5 November 2019, GlobeNewswire

Scylla review: Apache Cassandra supercharged
18 December 2019, InfoWorld

SD Times Open-Source Project of the Week: Scylla Open Source Database
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ScyllaDB set to improve NoSQL database performance
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A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

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