DBMS > Amazon Aurora vs. Informix

System Properties Comparison Amazon Aurora vs. Informix

Please select another system to include it in the comparison.

Our visitors often compare Amazon Aurora and Informix with Microsoft SQL Server, PostgreSQL and Oracle.

Editorial information provided by DB-Engines

Name

Description

MySQL and PostgreSQL compatible cloud service by Amazon

A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data

Primary database model

Relational DBMS

Since Version 12.10 support for JSON/BSON datatypes compatible with MongoDB

Secondary database models

Document store

Document store
Spatial DBMS
Time Series DBMS

with Informix TimeSeries Extension

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

Score	9.12
Rank	#49	Overall
	#31	Relational DBMS

Score	22.34
Rank	#33	Overall
	#20	Relational DBMS

Website

aws.amazon.com/rds/aurora

www.ibm.com/products/informix

Technical documentation

docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_Aurora.html

informix.hcldoc.com
www.ibm.com/support/knowledgecenter/SSGU8G/welcomeIfxServers.html

Developer

Amazon

IBM, HCL Technologies

Effective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.

Initial release

2015

1984

Current release

14.10.FC5, November 2020

License

Commercial or Open Source

commercial

free developer edition available

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

C, C++ and Java

Server operating systems

hosted

AIX
HP-UX
Linux
macOS
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

Since Version 12.10 support for JSON/BSON datatypes

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

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
JSON API

MongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

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

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica 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

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

Users with fine-grained authentication, authorization, and auditing controls

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

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Recent citations in the news

FluideFi Gains Time and Cuts Costs with Google Clouds AlloyDB
29 September 2023, Crypto Times

High Performance Functions in Rust on RDS PostgreSQL
25 September 2023, InfoQ.com

The Top Government Contracts Won by Amazon Web Services
4 September 2023, GovCon Wire

AWS-Announces-Amazon-Aurora-IO-Optimized
11 May 2023, Amazon Press Release

Amazon Aurora vs. Redshift: What You Need to Know
25 May 2023, The New Stack

provided by Google News

Relational Database Management System Market 2023 ...
29 September 2023, Digital Journal

Embedded Database Management Systems Market is Booming ...
13 September 2023, Digital Journal

Embedded Database Management Systems Market Share, Size, Growth Drivers & Opportunities Forecast, 2030
23 September 2023, Benzinga

The 18 Best Enterprise Data Governance Tools for 2023
26 September 2023, Solutions Review

The Top 5 Data Migration Tools of 2023
13 June 2023, Datamation

provided by Google News

Job opportunities

AWS API Developer
Omniware LLC, Remote

Remote - AWS API Developer
ValueTEK Inc, Remote

Data Architect
Agiles Enterprise, Remote

Database Administrator
SimplePractice, Remote

Dev Ops Admin/Engineer
Vibrant Emotional Health, Remote

Software Support Analyst I
Jenzabar, Remote

Shipping and Receiving Warehouse Supervisor
Dillon Supply Company, Winston-Salem, NC

Programmer
U.S. District Court, District of Hawaii, Honolulu, HI

Informix DBA
Gazelle Global Consulting, Remote

SW Support Engineer I
NCR, Atlanta, GA

jobs by

Share this page