DBMS > Apache Druid vs. openGemini vs. Oracle Coherence vs. STSdb

System Properties Comparison Apache Druid vs. openGemini vs. Oracle Coherence vs. STSdb

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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

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Oracles in-memory data grid solution

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS
Time Series DBMS

Time Series DBMS

Key-value store

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

Score	3.25
Rank	#90	Overall
	#47	Relational DBMS
	#7	Time Series DBMS

Score	0.09
Rank	#361	Overall
	#37	Time Series DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Website

druid.apache.org

www.opengemini.org
github.com/openGemini

www.oracle.com/java/coherence

github.com/STSSoft/STSdb4

Technical documentation

druid.apache.org/docs/latest/design

docs.opengemini.org/guide

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

Developer

Apache Software Foundation and contributors

Huawei and openGemini community

Oracle

STS Soft SC

Initial release

2012

2022

2007

2011

Current release

29.0.1, April 2024

1.1, July 2023

14.1, August 2023

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache license v2

Open Source

Apache Version 2.0

commercial

Open Source

GPLv2, commercial license available

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

Linux
Windows

All OS with a Java VM

Windows

Data scheme

yes

schema-less columns are supported

schema-free

yes

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

yes

primitive types and user defined types (classes)

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

SQL-like query language

APIs and other access methods

JDBC
RESTful HTTP/JSON API

HTTP REST

JCache
JPA
RESTful HTTP API

.NET Client API

Supported programming languages

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

.Net
C++
Java

C#
Java

Server-side scripts

Stored procedures

Triggers

yes

Live Events

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

yes, with selectable consistency level

none

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

Foreign keys

Referential integrity

Transaction concepts

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

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

Administrators and common users accounts

authentification to access the cache via certificates or http basic authentication

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