DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. Kdb+ vs. Newts

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. Kdb+ vs. Newts

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

MySQL and PostgreSQL compatible cloud service by Amazon

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

High performance Time Series DBMS

Time Series DBMS based on Cassandra

Primary database model

Relational DBMS

Document store
Key-value store

Time Series DBMS

Secondary database models

Document store

Relational DBMS

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

Score	12.46
Rank	#45	Overall
	#29	Relational DBMS

Score	8.98
Rank	#54	Overall
	#2	Time Series DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

aws.amazon.com/rds/aurora

atos.net/en/convergence-creators/portfolio/standard-common-repository

kx.com

opennms.github.io/newts

Technical documentation

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

code.kx.com

github.com/OpenNMS/newts/wiki

Developer

Amazon

Atos Convergence Creators

Kx Systems, a division of First Derivatives plc

OpenNMS Group

Initial release

2015

2016

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

1703

3.6, May 2018

License

Commercial or Open Source

commercial

free 32-bit version

Open Source

Apache 2.0

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

Server operating systems

hosted

Linux

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

yes

Schema and schema-less with LDAP views

yes

schema-free

Typing

predefined data types such as float or date

yes

optional

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

table attribute 'grouped'

SQL

Support of SQL

yes

SQL-like query language (q)

APIs and other access methods

ADO.NET
JDBC
ODBC

LDAP

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

HTTP REST
Java 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

All languages with LDAP bindings

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

cell division

horizontal partitioning

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Source-replica replication

selectable replication factor

based on Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

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

LDAP bind authentication

rights management via user accounts

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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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

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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

AWS Releases the Second Version of Amazon Aurora Serverless with Independent Scaling
29 April 2022, InfoQ.com

Amazon Aurora Serverless v2 removes the complexity of managing database capacity
23 April 2022, Help Net Security

RDS and Aurora PostgreSQL Vulnerability Leads to AWS Deprecating Many Minor Versions
23 April 2022, InfoQ.com

Amazon Rolls Out Web Services (AWS) Innovations
9 May 2022, Investopedia

Google Cloud Introduces PostgreSQL-Compatible AlloyDB for Enterprise Database Workloads
21 May 2022, InfoQ.com

provided by Google News

Treliant Forms Alliance with KX
11 May 2022, Traders Magazine

KX Welcomes New Languages to Speedy Analytics Database
2 November 2021, Datanami

How time series platforms unlock the potential of IoT: Join theCUBE for May 17 event
10 May 2022, SiliconANGLE News

The coding language you can learn in months for top finance jobs
26 July 2021, eFinancialCareers

Storage news ticker – December 9 – Blocks and Files
9 December 2021, Blocks and Files

provided by Google News

Job opportunities

Software Development Engineer - Amazon Aurora
Amazon.com Services LLC, Seattle, WA

Sr. Software Dev Manager - Amazon Aurora
Amazon.com Services LLC, Boston, MA

Senior Software Development Engineer - Amazon Aurora
Amazon.com Services LLC, Seattle, WA

Software Development Engineer (Level 5), Amazon Aurora Team
Amazon Dev Center U.S., Inc., East Palo Alto, CA

Sr. Performance Engineer, Amazon Aurora
Amazon Dev Center U.S., Inc., East Palo Alto, CA

kdb/q Developer - Associate
Deutsche Bank, Cary, NC

Fixed Income Data Analytics Strats
Deutsche Bank, New York, NY

KDB+/Q Software Engineer
JPMorgan Chase Bank, N.A., Jersey City, NJ

C# Developer
Quanteam, Miami, FL

FIC Data Analytics Strat - Analyst
Deutsche Bank, New York, NY

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