DBMS > Apache Druid vs. DataFS vs. Oracle Coherence vs. SiteWhere

System Properties Comparison Apache Druid vs. DataFS vs. Oracle Coherence vs. SiteWhere

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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

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Oracles in-memory data grid solution

M2M integration platform for persisting/querying time series data

Primary database model

Relational DBMS
Time Series DBMS

Object oriented DBMS

Key-value store

Time Series DBMS

Secondary database models

Graph DBMS

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Score	3.34
Rank	#88	Overall
	#48	Relational DBMS
	#7	Time Series DBMS

Score	0.06
Rank	#354	Overall
	#15	Object oriented DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.06
Rank	#356	Overall
	#35	Time Series DBMS

Website

druid.apache.org

newdatabase.com

www.oracle.com/java/coherence

github.com/sitewhere/sitewhere

Technical documentation

druid.apache.org/docs/latest/design

dev.mobiland.com/Overview.xsp

docs.oracle.com/en/middleware/standalone/coherence

sitewhere1.sitewhere.io/index.html

Developer

Apache Software Foundation and contributors

Mobiland AG

Oracle

SiteWhere

Initial release

2012

2018

2007

2010

Current release

29.0.1, April 2024

1.1.263, October 2022

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache license v2

commercial

Open Source

Common Public Attribution License Version 1.0

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

Windows

All OS with a Java VM

Linux
OS X
Windows

Data scheme

yes

schema-less columns are supported

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

schema-free

predefined scheme

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

SQL

Support of SQL

SQL for querying

APIs and other access methods

JDBC
RESTful HTTP/JSON API

.NET Client API
Proprietary client DLL
WinRT client

JCache
JPA
RESTful HTTP API

HTTP REST

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

.Net
C
C#
C++
VB.Net

.Net
C++
Java

Server-side scripts

Stored procedures

Triggers

no, except callback-events from server when changes happened

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

manual/auto, time-based

Proprietary Sharding system

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HDFS, S3 or other storage engines

yes, with selectable consistency level

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

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

Windows-Profile

authentification to access the cache via certificates or http basic authentication

Users with fine-grained authorization concept

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