DBMS > GeoSpock vs. MariaDB vs. WakandaDB

System Properties Comparison GeoSpock vs. MariaDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

Spatial and temporal data processing engine for extreme data scale

MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.

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

Primary database model

Relational DBMS

Object oriented DBMS

Secondary database models

Time Series DBMS

Document store
Graph DBMS

with OQGraph storage engine
Spatial DBMS

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

Score	94.23
Rank	#14	Overall
	#10	Relational DBMS

Score	0.03
Rank	#369	Overall
	#18	Object oriented DBMS

Website

geospock.com

mariadb.com

Site of MariaDB Corporation
mariadb.org

Site of MariaDB Foundation

wakanda.github.io

Technical documentation

mariadb.com/kb/en/library

wakanda.github.io/doc

Developer

GeoSpock

MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server)

The lead developer Monty Widenius is the original author of MySQL

Wakanda SAS

Initial release

2009

Fork of MySQL, which was first released in 1995

2012

Current release

2.0, September 2019

11.5.2, August 2024

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

GPL version 2, commercial enterprise subscription available

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.

Implementation language

Java, Javascript

C and C++

C++, JavaScript

Server operating systems

hosted

FreeBSD
Linux
Solaris
Windows

ColumnStore storage engine not available on Windows

Linux
OS X
Windows

Data scheme

yes

Dynamic columns are supported

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.

yes

Secondary indexes

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

with proprietary extensions

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC
Proprietary native API

RESTful HTTP API

Supported programming languages

Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

JavaScript

Server-side scripts

Stored procedures

yes

PL/SQL compatibility added with version 10.3

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

several options for horizontal partitioning and Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

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

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

not for in-memory storage engine

yes

In-memory capabilities

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

yes

with MEMORY storage engine

User concepts

Access control

Access rights for users can be defined per table

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

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More resources

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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock and X-Locations Collaborate to Deliver Next Generation Location Data Analysis in Japan
25 March 2019, Business Wire

GeoSpock wins Liverpool transport challenge
25 October 2018, SmartCitiesWorld

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

provided by Google News

MariaDB reboots DBaaS plans with open source at the core
12 March 2025, The Register

K1 Acquires MariaDB, a Leading Database Software Company, and Appoints New CEO
10 September 2024, PR Newswire

MariaDB adds vector search in Gen AI DB push
17 January 2025, Blocks and Files

How do you solve a problem like MariaDB? Cozy up to the community, says new CEO
12 October 2024, TechCrunch

MariaDB goes private after acquisition by K1 Investment Management
10 September 2024, SiliconANGLE News

provided by Google News

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