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DBMS > Blazegraph vs. Drizzle vs. Hyprcubd vs. Riak TS vs. SQL.JS

System Properties Comparison Blazegraph vs. Drizzle vs. Hyprcubd vs. Riak TS vs. SQL.JS

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.

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

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

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Serverless Time Series DBMS

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

Port of SQLite to JavaScript

Primary database model

Graph DBMS
RDF store

Relational DBMS

Time Series DBMS

Time Series DBMS

Relational DBMS

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

Score	0.81
Rank	#213	Overall
	#19	Graph DBMS
	#8	RDF stores

Score	0.28
Rank	#307	Overall
	#27	Time Series DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

hyprcubd.com (offline)

Technical documentation

wiki.blazegraph.com

www.tiot.jp/riak-docs/riak/ts/latest

sql.js.org/documentation/index.html

Developer

Blazegraph

Drizzle project, originally started by Brian Aker

Hyprcubd, Inc.

Open Source, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2006

2008

2015

2012

Current release

2.1.5, March 2019

7.2.4, September 2012

3.0.0, September 2022

License

Commercial or Open Source

Open Source

extended commercial license available

Open Source

GNU GPL

commercial

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

yes

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Go

Erlang

JavaScript

Server operating systems

Linux
OS X
Windows

FreeBSD
Linux
OS X

hosted

Linux
OS X

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

yes

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

RDF literal types

yes

yes

time, int, uint, float, string

no

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.

no

no

no

Secondary indexes

yes

yes

no

restricted

SQL

Support of SQL

SPARQL is used as query language

yes

with proprietary extensions

SQL-like query language

yes, limited

yes

SQL-92 is not fully supported

APIs and other access methods

Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3

JDBC

gRPC (https)

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

.Net
C
C++
Java
JavaScript
PHP
Python
Ruby

C
C++
Java
PHP

C

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

JavaScript

Server-side scripts

Stored procedures

yes

no

no

Erlang

no

Triggers

no

no

hooks for callbacks inside the server can be used.

no

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

Relationships in Graphs

yes

no

no

links between datasets can be stored

yes

Transaction concepts

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

ACID

ACID

no

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

no

yes

Durability

Support for making data persistent

yes

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

no

yes

User concepts

Access control

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

token access

no

no

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