DBMS > Drizzle vs. Memcached vs. SiteWhere vs. StarRocks

System Properties Comparison Drizzle vs. Memcached vs. SiteWhere vs. StarRocks

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Editorial information provided by DB-Engines

Name

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

Description

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

In-memory key-value store, originally intended for caching

M2M integration platform for persisting/querying time series data

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

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

Score	16.84
Rank	#32	Overall
	#4	Key-value stores

Score	0.07
Rank	#347	Overall
	#33	Time Series DBMS

Score	0.95
Rank	#193	Overall
	#89	Relational DBMS

Website

www.memcached.org

github.com/sitewhere/sitewhere

www.starrocks.io

Technical documentation

github.com/memcached/memcached/wiki

sitewhere1.sitewhere.io/index.html

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Drizzle project, originally started by Brian Aker

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

SiteWhere

The Linux Foundation

since Feb 2023

Initial release

2008

2003

2010

2020

Current release

7.2.4, September 2012

1.6.29, June 2024

3.3, June 2024

License

Commercial or Open Source

Open Source

GNU GPL

Open Source

BSD license

Open Source

Common Public Attribution License Version 1.0

Open Source

Apache Version 2.0

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

C++

Java

C++, Java

Server operating systems

FreeBSD
Linux
OS X

FreeBSD
Linux
OS X
Unix
Windows

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free

predefined scheme

yes

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

yes

with proprietary extensions

yes

APIs and other access methods

JDBC

Proprietary protocol

HTTP REST

JDBC
MySQL protocol

Supported programming languages

C
C++
Java
PHP

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Java

Server-side scripts

Stored procedures

user defined functions

Triggers

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

based on HBase

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

Repcached, a Memcached patch, provides this functionallity

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

Foreign keys

Referential integrity

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.

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes

using SASL (Simple Authentication and Security Layer) protocol

Users with fine-grained authorization concept

Role based access control and fine grained access rights

More information provided by the system vendor

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More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

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3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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