DBMS > BigObject vs. GeoSpock

System Properties Comparison BigObject vs. GeoSpock

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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

Analytic DBMS for real-time computations and queries

Spatial and temporal data processing engine for extreme data scale

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	0.25
Rank	#332	Overall
	#144	Relational DBMS

Website

bigobject.io

geospock.com/

Technical documentation

docs.bigobject.io

docs.geospock.com/Content/Home.htm

Developer

BigObject, Inc.

GeoSpock

Initial release

2015

Current release

2.0, September 2019

License

Commercial or Open Source

commercial

free community edition available

commercial

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.

Implementation language

Java, Javascript

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

hosted

Data 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

temporal, categorical

SQL

Support of SQL

SQL-like DML and DDL statements

ANSI SQL for query only (using Presto)

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

JDBC

Server-side scripts

Stored procedures

Lua

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

User concepts

Access control

Access rights for users can be defined per table

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More resources

Recent citations in the news

Location Analytics Tools Market to grow by USD 11.84 billion from 2021 to 2026, Market driven by the rise in awareness of location-enabled services- Technavio
15 September 2023, Yahoo Finance

UK-based database GeoSpock bags $5.4m, to expand into
6 October 2020, Tech in Asia

nChain leads investment round in extreme-scale data firm GeoSpock
2 October 2020, CoinGeek

Smart Cambridge boost as GeoSpock adds big data component
8 March 2019, Cambridge Independent

12 of the most exciting tech companies in Cambridge
3 September 2018, GrowthBusiness.co.uk

provided by Google News

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