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DBMS > Kinetica vs. Neo4j vs. Newts vs. Splunk vs. TigerGraph

System Properties Comparison Kinetica vs. Neo4j vs. Newts vs. Splunk vs. TigerGraph

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNeo4j  Xexclude from comparisonNewts  Xexclude from comparisonSplunk  Xexclude from comparisonTigerGraph  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 offeringsTime Series DBMS based on CassandraAnalytics Platform for Big DataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSTime Series DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.kinetica.comneo4j.comopennms.github.io/­newtswww.splunk.comwww.tigergraph.com
Technical documentationdocs.kinetica.comneo4j.com/­docsgithub.com/­OpenNMS/­newts/­wikidocs.splunk.com/­Documentation/­Splunkdocs.tigergraph.com
DeveloperKineticaNeo4j, Inc.OpenNMS GroupSplunk Inc.
Initial release20122007201420032017
Current release7.1, August 20215.19, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
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, ScalaJavaC++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free and schema-optionalschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Lucenenoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono infoSplunk Search Processing Language for search commandsSQL-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
HTTP REST
Java API
HTTP RESTGSQL (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
JavaC#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functionsnoyesyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlernoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on CassandraMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnonono
User concepts infoAccess controlAccess rights for users and roles on table levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noAccess rights for users and rolesRole-based access control
More information provided by the system vendor
KineticaNeo4jNewtsSplunkTigerGraph
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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