DBMS > Blazegraph vs. Kinetica

System Properties Comparison Blazegraph vs. Kinetica

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Our visitors often compare Blazegraph and Kinetica with Neo4j, Elasticsearch and Spark SQL.

Editorial information provided by DB-Engines

Name

Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.

Description

High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.

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

Primary database model

Graph DBMS
RDF store

Relational DBMS

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

Score	0.87
Rank	#182	Overall
	#16	Graph DBMS
	#8	RDF stores

Score	0.76
Rank	#193	Overall
	#97	Relational DBMS

Website

blazegraph.com

www.kinetica.com

Technical documentation

wiki.blazegraph.com

www.kinetica.com/docs

Developer

Blazegraph

Kinetica

Initial release

2006

2012

Current release

2.1.5, March 2019

6.0

License

Commercial or Open Source

Open Source

extended commercial license available

commercial

Cloud-based only

Only available as a cloud service

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

Linux
OS X
Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

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

SQL

Support of SQL

SPARQL is used as query language

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

JDBC
ODBC
RESTful HTTP API

Supported programming languages

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

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

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Relationships in Graphs

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

Security and Authentication via Web Application Container (Tomcat, Jetty)

Access rights for users and roles on table level

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More resources

Recent citations in the news

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

GPU Database Market Emerging Trends, Demand, Business Opportunities and Forecast 2021-2026|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda
19 January 2021, Jumbo News

Global RDF Databases Software Market Expected To Reach Highest CAGR By 2026: MarkLogic, Ontotext, The Apache Software Foundation, Franz, Blazegraph etc.
19 January 2021, Splash Radio Wales

GPU Database Market Status 2021 and Forecast 2026, Top Key Players – Graphistry, NVIDIA, SQream, Brytlyt, BlazingDB, Neo4j, Jedox, Zilliz, HeteroDB, Kinetica, Blazegraph, Anaconda, Fuzzy Logix, OmniSci
15 January 2021, NeighborWebSJ

provided by Google News

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
14 January 2021, The Pinstripe Empire

GPU Database Market Key Manufacturers, Development Trends and Competitive Analysis 2023
13 January 2021, MENAFN.COM

provided by Google News

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