DBMS > GraphDB vs. HugeGraph vs. Kinetica

System Properties Comparison GraphDB vs. HugeGraph vs. Kinetica

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Editorial information provided by DB-Engines

Name

Description

Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization support

A fast-speed and highly-scalable Graph DBMS

GPU-accelerated database for real-time analysis of large and streaming datasets

Primary database model

Graph DBMS
RDF store

Graph DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.11
Rank	#121	Overall
	#8	Graph DBMS
	#5	RDF stores

Score	0.07
Rank	#308	Overall
	#30	Graph DBMS

Score	0.76
Rank	#193	Overall
	#97	Relational DBMS

Website

graphdb.ontotext.com

github.com/hugegraph

www.kinetica.com

Technical documentation

graphdb.ontotext.com/documentation

hugegraph.github.io/hugegraph-doc

www.kinetica.com/docs

Developer

Ontotext

Baidu

Kinetica

Initial release

2000

2018

2012

Current release

9.4, September 2020

0.9

6.0

License

Commercial or Open Source

commercial

limited edition free

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

Named S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C, C++

Server operating systems

All OS with a Java VM
Linux
OS X
Windows

Linux
macOS
Unix

Linux

Data scheme

schema-free and OWL/RDFS-schema support

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

SPARQL is used as query language

SQL-like DML and DDL statements

APIs and other access methods

GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

Java API
RESTful HTTP API
TinkerPop Gremlin

JDBC
ODBC
RESTful HTTP API

Supported programming languages

.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Groovy
Java
Python

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Java Server Plugin

asynchronous Gremlin script jobs

user defined functions

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

depending on used storage backend, e.g. Cassandra and HBase

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)

Eventual Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Constraint checking

yes

edges in graph

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

GPU vRAM or System RAM

User concepts

Access control

yes

Users, roles and permissions

Access rights for users and roles on table level

More information provided by the system vendor

Specific characteristics

GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more

Competitive advantages

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more

Typical application scenarios

Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more

Key customers

BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more

Market metrics

GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more

Licensing and pricing models

GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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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

Conferences and events

more DBMS events

Knowledge Graphs for Enterprise Data Management
Webinar, 4pm GMT, 8am PST, 5pm CET, 5 November 2020 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

provided by Google News

GPU Database Market to Witness a Pronounce Growth During 2021-2026|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox
21 January 2021, NeighborWebSJ

Global GPU Database Market Trends, Growth Rate, Demand, Opportunities & Forecast To 2026
21 January 2021, KSU | The Sentinel Newspaper

GPU Database Market Growth Opportunities and Analysis of Top Key Players – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda
20 January 2021, NeighborWebSJ

GPU Database Market to reach US $1,484.1 Million by 2028 - Insights on Trends, COVID-19 Impact Analysis, Regulatory Landscape, Growth Opportunities and Future Prospect: Adroit Market Research
28 December 2020, GlobeNewswire

Global GPU Database Market Top Players Analysis By 2026: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anacond etc.a
18 January 2021, NeighborWebSJ

provided by Google News

Job opportunities

Solutions Engineer (Pre-Sales)
Kinetica DB, Chicago, IL

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