DBMS > GeoSpock vs. HEAVY.AI vs. VoltDB

System Properties Comparison GeoSpock vs. HEAVY.AI vs. VoltDB

Please select another system to include it in the comparison.

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

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

Secondary database models

Time Series DBMS

Spatial DBMS

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

Score	0.26
Rank	#339	Overall
	#150	Relational DBMS

Score	2.98
Rank	#114	Overall
	#58	Relational DBMS

Score	2.04
Rank	#153	Overall
	#72	Relational DBMS

Website

geospock.com/

github.com/heavyai/heavydb
www.heavy.ai

www.voltdb.com

Technical documentation

docs.geospock.com/Content/Home.htm

docs.heavy.ai

docs.voltdb.com

Developer

GeoSpock

HEAVY.AI, Inc.

VoltDB Inc.

Initial release

2016

2010

Current release

2.0, September 2019

5.10, January 2022

11.3, April 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; enterprise edition available

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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++ and CUDA

Java, C++

Server operating systems

hosted

Linux

Linux
OS X

for development

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

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

only a subset of SQL 99

APIs and other access methods

JDBC

JDBC
ODBC
Thrift
Vega

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

All languages supporting JDBC/ODBC/Thrift
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

Java

Triggers

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding

Round robin

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Multi-source replication
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

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

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

fine grained access rights according to SQL-standard

Users and roles with access to stored procedures

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

Recent citations in the news

Location Analytics Tools Market to grow by USD 11.84 billion from ...
15 September 2023, Longview News-Journal

Cambridge-Based GeoSpock Secures £10 Million Additional Funding
8 January 2019, Business Wire

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

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

provided by Google News

Briefing: Microsoft to Host Some Oracle Servers to Speed Customers ...
14 September 2023, The Information

The AI advance: Tracing escalation of AI investments in 2023 ...
7 September 2023, ETCIO South East Asia

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine ...
19 April 2023, Business Wire

Making the most of geospatial intelligence
14 April 2023, InfoWorld

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

provided by Google News

In-Memory Database Market Size, Research Report 2023-2031
19 September 2023, Benzinga

Main Memory Database System Market by Size, Trend & New Technology till 2023-2031
18 September 2023, Benzinga

In-Memory Database Market (2023-2030): Growth Forecast
20 September 2023, Benzinga

RDBMS Software Market Competitive Analysis till 2031
20 September 2023, Benzinga

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

provided by Google News

Job opportunities

Data Visualization in Domo, QuickSight, Heavy.ai, D3.JS or Chart JS
OptiMiser LLC, Remote

Senior Product Manager
Instrumental, Palo Alto, CA

Senior Big Data Engineer (Remote)
Cambridge Technology Enterprises (CTE), Remote

jobs by

Share this page