DBMS > Drizzle vs. SpaceTime vs. SWC-DB vs. WakandaDB

System Properties Comparison Drizzle vs. SpaceTime vs. SWC-DB vs. WakandaDB

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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.

SpaceTime is a spatio-temporal DBMS with a focus on performance.

A high performance, scalable Wide Column DBMS

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Secondary database models

Relational DBMS

Time Series DBMS

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

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	0.10
Rank	#356	Overall
	#16	Object oriented DBMS

Website

www.mireo.com/spacetime

github.com/kashirin-alex/swc-db
www.swcdb.org

wakanda.github.io

Technical documentation

wakanda.github.io/doc

Developer

Drizzle project, originally started by Brian Aker

Mireo

Alex Kashirin

Wakanda SAS

Initial release

2008

2020

2012

Current release

7.2.4, September 2012

0.5, April 2021

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

GPL V3

Open Source

AGPLv3, extended 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

C++

C++, JavaScript

Server operating systems

FreeBSD
Linux
OS X

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

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

A subset of ANSI SQL is implemented

SQL-like query language

APIs and other access methods

JDBC

RESTful HTTP API

Proprietary protocol
Thrift

RESTful HTTP API

Supported programming languages

C
C++
Java
PHP

C#
C++
Python

C++

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Fixed-grid hypercubes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Real-time block device replication (DRBD)

none

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

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More resources

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