DBMS > GeoSpock vs. Tkrzw vs. Yaacomo

System Properties Comparison GeoSpock vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines

Name

Description

Spatial and temporal data processing engine for extreme data scale

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	0.36
Rank	#311	Overall
	#141	Relational DBMS

Score	0.00
Rank	#389	Overall
	#63	Key-value stores

Score	0.00
Rank	#389	Overall
	#162	Relational DBMS

Website

geospock.com

dbmx.net/tkrzw

yaacomo.com

Technical documentation

docs.geospock.com/Content/Home.htm

Developer

GeoSpock

Mikio Hirabayashi

Q2WEB GmbH

Initial release

2020

2009

Current release

2.0, September 2019

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java, Javascript

C++

Server operating systems

hosted

Linux
macOS

Android
Linux
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

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

JDBC

JDBC
ODBC

Supported programming languages

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

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.

yes

using specific database classes

yes

User concepts

Access control

Access rights for users can be defined per table

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

Japanese tech company joins GeoSpock’s new $5.4m round
2 October 2020, Business Weekly

GeoSpock Launches Pioneering New Spatial Big Data Platform
26 February 2019, businesswire.com

Jet-heeled GeoSpock joins Vodafone backed tech venture
28 October 2020, Business Weekly

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

Enhanc3D Genomics Raises £10M in Series A Financing
20 October 2022, FinSMEs

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise ...
15 June 2021, SiliconANGLE News

provided by Google News

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