DBMS > Infobright vs. IRONdb vs. PostgreSQL

System Properties Comparison Infobright vs. IRONdb vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

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

A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store
Graph DBMS

with Apache Age
Spatial DBMS

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

Score	1.57
Rank	#182	Overall
	#88	Relational DBMS

Score	0.30
Rank	#341	Overall
	#31	Time Series DBMS

Score	612.82
Rank	#4	Overall
	#4	Relational DBMS

Website

ignitetech.com/softwarelibrary/infobrightdb

www.circonus.com/solutions/time-series-database

www.postgresql.org

Technical documentation

docs.circonus.com/irondb

www.postgresql.org/docs

Developer

Ignite Technologies Inc.; formerly InfoBright Inc.

Circonus LLC.

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2005

2017

1989

1989: Postgres, 1996: PostgreSQL

Current release

V0.10.20, January 2018

15.3, May 2023

License

Commercial or Open Source

commercial

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

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

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Implementation language

C and C++

Server operating systems

Linux
Windows

Linux

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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

specific XML-type available, but no XML query functionality.

Secondary indexes

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes

SQL-like query language (Circonus Analytics Query Language: CAQL)

yes

standard with numerous extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

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

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

yes, in Lua

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic, metric affinity per node

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

configurable replication factor, datacenter aware

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate consistency per node, eventual consistency across nodes

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

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

fine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources

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Recent citations in the news

Should I use the Infobright database or is there a better aggregation solution?
15 April 2017, dba.stackexchange.com

Infobright
3 January 2022, dbdb.io

Writing to Infobright Database
3 February 2010, cloverdx.com

Fig. 1. Loading and querying in Infobright database system. Data is...
7 September 2018, ResearchGate

Revision Infobright
22 April 2018, dbdb.io

provided by Google News

On the Radar: COVID-19, Circonus, and Fake FB Accounts
4 March 2020, Datanami

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5 June 2023, InfoWorld

PostgreSQL 16 advances query parallelism
26 May 2023, InfoWorld

MongoDB vs. PostgreSQL vs. ScyllaDB: Tractian's Experience
31 May 2023, The New Stack

How to Migrate from Oracle to PostgreSQL
10 May 2023, hackernoon.com

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10 May 2023, The Register

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