DBMS > GeoSpock vs. Infobright vs. OrientDB

System Properties Comparison GeoSpock vs. Infobright vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

Spatial and temporal data processing engine for extreme data scale

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Multi-model DBMS (Document, Graph, Key/Value)

Primary database model

Relational DBMS

Document store
Graph DBMS
Key-value store

Secondary database models

Time Series DBMS

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

Score	0.20
Rank	#277	Overall
	#130	Relational DBMS

Score	1.21
Rank	#157	Overall
	#78	Relational DBMS

Score	5.13
Rank	#68	Overall
	#10	Document stores
	#3	Graph DBMS
	#9	Key-value stores

Website

geospock.com

www.ignitetech.com/infobright-db

orientdb.org

Technical documentation

docs.geospock.com/Content/Home.htm

www.orientdb.com/docs/last/index.html

Developer

GeoSpock

Ignite Technologies Inc.; formerly InfoBright Inc.

OrientDB LTD; CallidusCloud; SAP

Initial release

2005

2010

Current release

2.0, September 2019

3.1.0, June 2020

License

Commercial or Open Source

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

Apache version 2

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

Java

Server operating systems

hosted

Linux
Windows

All OS with a Java JDK (>= JDK 6)

Data scheme

yes

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

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

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

yes

SQL-like query language, no joins

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Java, Javascript

Triggers

Hooks

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

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

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

Access rights for users and roles; record level security configurable

More information provided by the system vendor

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More resources

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

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

GeoSpock looks to unlock blockchain benefits for cities following $5.4 million investment
7 October 2020, Cities Today

GeoSpock joins Tomorrow Street to accelerate next-generation database technology adoption
28 October 2020, RealWire

UK data analytics startup GeoSpock raises $5.4 million in fresh funds
2 October 2020, Tech.eu

NTT DoCoMo makes logical investment in GeoSpock
5 October 2020, TelecomTV

provided by Google News

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

provided by Google News

Global Graph Database Market 2025: IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, OpenLink Software, Marklogic, Tigergraph, MongoDB, Cray, Datastax, Ontotext, Stardog, Arangodb, Sparcity Technologies, Bitnine, Objectivity, Cambridge Semantics, Fluree, Blazegraph, Memgraph
26 February 2021, NY Market Reports

Graph Database Market by Technology, Application & Geography – Analysis & Forecast to 2027 || Neo Technology, Inc., OrientDB, Franz Inc.(AllegroGraph), DataStax, Ontotext AD, ArangoDB GmbH
17 February 2021, The Courier

Graph Database Market Competitive Insights and Analysis 2021-2026 | IBM, Microsoft, Oracle, AWS, Neo4j, OrientDB, TIBCO, Franz, OpenLink Software, MarkLogic, TigerGraph, DataStax, Ontotext, Stardog, Cray, ArangoDB , Bitnine, Objectivity, Memgraph, Cambridge Semantics, Fluree, and Blazegraph.
24 February 2021, NeighborWebSJ

Graph Database Market Latest Technological Advancements 2026: IBM, Microsoft, Oracle, AWS, Neo4j, OrientDB, TIBCO, Franz, OpenLink Software, MarkLogic, TigerGraph, DataStax, Ontotext, Stardog, Cray, ArangoDB , Bitnine, Objectivity, Memgraph, Cambridge Semantics, Fluree, and Blazegraph. – NeighborWebSJ
22 February 2021, NeighborWebSJ

NoSQL Software Market Demand, Booming Worldwide and Strategic Outlook to 2025 | MongoDB, OrientDB, Amazon, Azure Cosmos DB, Couchbase, ArangoDB, CouchDB, MarkLogic
11 February 2021, NeighborWebSJ

provided by Google News

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