DBMS > Apache Druid vs. Hazelcast vs. RDF4J

System Properties Comparison Apache Druid vs. Hazelcast vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

A widely adopted in-memory data grid

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS
Time Series DBMS

Key-value store

RDF store

Secondary database models

Document store

JSON support with IMDG 3.12

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

Score	3.20
Rank	#106	Overall
	#54	Relational DBMS
	#7	Time Series DBMS

Score	7.87
Rank	#56	Overall
	#6	Key-value stores

Score	1.02
Rank	#226	Overall
	#9	RDF stores

Website

druid.apache.org

hazelcast.com

rdf4j.org

Technical documentation

druid.apache.org/docs/latest/design

hazelcast.org/imdg/docs

rdf4j.org/documentation

Developer

Apache Software Foundation and contributors

Hazelcast

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2012

2008

2004

Current release

27.0.0, August 2023

5.3.2, August 2023

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Apache Version 2; commercial licenses available

Open Source

Eclipse Distribution License (EDL), v1.0.

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

Server operating systems

Linux
OS X
Unix

All OS with a Java VM

Linux
OS X
Unix
Windows

Data scheme

yes

schema-less columns are supported

schema-free

yes

RDF Schemas

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.

yes

the object must implement a serialization strategy

Secondary indexes

yes

SQL

Support of SQL

SQL for querying

SQL-like query language

APIs and other access methods

JDBC
RESTful HTTP/JSON API

JCache
JPA
Memcached protocol
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

yes

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

yes

Replicated Map

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Foreign keys

Referential integrity

Transaction concepts

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

one or two-phase-commit; repeatable reads; read commited

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

User concepts

Access control

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

Role-based access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

The Basics of Event-Driven Architectures
22 September 2023, The New Stack

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

What's 'Pipeline-Free' Real-Time Data Analytics?
5 September 2023, The New Stack

Change Data Capture for Real-Time Access to Backend Databases
5 September 2023, The New Stack

Perspectives on Real-time and GenAI Convergence
24 September 2023, RTInsights

provided by Google News

Hazelcast Recognized in Multiple Gartner Hype Cycle, Market Guide ...
25 September 2023, GlobeNewswire

In-Memory Data Grid Market is Booming Across the Global Players ...
18 September 2023, Digital Journal

Secoda secures $14M to expand its data cataloging platform
21 September 2023, TechCrunch

AArete partners with data firm Hazelcast
17 July 2023, Consulting.us

Hazelcast CEO: Automation Rules The Real-Time Economy
10 December 2022, Forbes

provided by Google News

Exploring Intelligent Graph and PathQL - DataScienceCentral.com
21 February 2022, Data Science Central

Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
5 July 2022, PR Newswire

Intara FAQs
16 November 2022, Jane's

GraphDB 9.8 Brings Text Mining and Kafka Connectivity
2 June 2021, PR Newswire

SPARQL, le SQL du Web, et Linked Data Fragment : le point sur le ...
1 January 2017, LinuxFr.org

provided by Google News

Job opportunities

Mid Node.js Developer Remote
AdTonos, Remote

GCP Druid Sr. Engineer
Intone Networks, Irving, TX

Senior DevOps Engineer
Plooto, United States

Technology Development Librarian
The University of Alabama, Alabama

Principal Software Engineer - Java, Cloud Services
Zscaler, San Jose, CA

Ontologist
Johns Hopkins Applied Physics Laboratory (APL), Laurel, MD

jobs by

Share this page