DBMS > Firebolt vs. GeoSpock vs. OpenQM vs. SpatiaLite vs. Valentina Server

System Properties Comparison Firebolt vs. GeoSpock vs. OpenQM vs. SpatiaLite vs. Valentina Server

Editorial information provided by DB-Engines

Name

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

Description

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

Spatial and temporal data processing engine for extreme data scale

QpenQM is a high-performance, self-tuning, multi-value DBMS

Spatial extension of SQLite

Object-relational database and reports server

Primary database model

Secondary database models

Time Series DBMS

Relational DBMS

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

Score	1.49
Rank	#148	Overall
	#68	Relational DBMS

Score	0.28
Rank	#291	Overall
	#10	Multivalue DBMS

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Score	0.18
Rank	#313	Overall
	#140	Relational DBMS

Website

www.firebolt.io

geospock.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

www.gaia-gis.it/fossil/libspatialite/index

www.valentina-db.net

Technical documentation

docs.firebolt.io

www.gaia-gis.it/gaia-sins/spatialite_topics.html

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Firebolt Analytics Inc.

GeoSpock

Rocket Software, originally Martin Phillips

Alessandro Furieri

Paradigma Software

Initial release

2020

1993

2008

1999

Current release

2.0, September 2019

3.4-12

5.0.0, August 2020

5.7.5

License

Commercial or Open Source

commercial

Open Source

GPLv2, extended commercial license available

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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

C++

Server operating systems

hosted

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

server-less

Linux
OS X
Windows

Data scheme

yes

with some exceptions

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

yes

temporal, categorical

yes

SQL

Support of SQL

yes

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

.Net
ODBC
RESTful HTTP API

JDBC

ODBC

Supported programming languages

Go
JavaScript (Node.js)
Python

.Net
Basic
C
Java
Objective C
PHP
Python

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

yes

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.

yes

User concepts

Access control

Access rights for users can be defined per table

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Recent citations in the news

Firebolt Launches Low Latency Cloud Data Warehouse for Enhanced Analytics Efficiency
17 September 2024, Datanami

Data warehouse unicorn Firebolt aims to make magic in Kirkland
11 September 2024, The Business Journals

Firebolt Introduces Industry-First Low Latency Cloud Data Warehouse
18 September 2024, insideBIGDATA

Firebolt Archives - High-Performance Computing News Analysis
17 September 2024, insideHPC

10 Best Data Pipeline Tools of 2024 to Boost Your Productivity
20 February 2024, Datamation

provided by Google News

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

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

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

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

CEO Richard Baker explores GeoSpock’s role in posting indexed data onto digital ledger
20 October 2020, CoinGeek

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source
7 December 2018, H2S Media

provided by Google News

Share this page