DBMS > Atos Standard Common Repository vs. eXtremeDB vs. Kdb+ vs. Newts

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

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

Description

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

Natively in-memory DBMS with options for persistency, high-availability and clustering

High performance Time Series DBMS

Time Series DBMS based on Cassandra

Primary database model

Document store
Key-value store

Relational DBMS
Time Series DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.68
Rank	#209	Overall
	#100	Relational DBMS
	#15	Time Series DBMS

Score	8.98
Rank	#54	Overall
	#2	Time Series DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

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

www.mcobject.com

kx.com

opennms.github.io/newts

Technical documentation

www.mcobject.com/docs/extremedb.htm

code.kx.com

github.com/OpenNMS/newts/wiki

Developer

Atos Convergence Creators

McObject

Kx Systems, a division of First Derivatives plc

OpenNMS Group

Initial release

2016

2001

2000

kdb was released 2000, kdb+ in 2003

2014

Current release

1703

8.2, 2021

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

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C and C++

Java

Server operating systems

Linux

AIX
HP-UX
Linux
macOS
Solaris
Windows

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

Schema and schema-less with LDAP views

yes

schema-free

Typing

predefined data types such as float or date

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

support of XML interfaces available

yes

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

yes

with the option: eXtremeSQL

SQL-like query language (q)

APIs and other access methods

LDAP

.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

HTTP REST
Java API

Supported programming languages

All languages with LDAP bindings

.Net
C
C#
C++
Java
Lua
Python
Scala

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

by defining events

yes

with views

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

horizontal partitioning / sharding

horizontal partitioning

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Active Replication Fabric™ for IoT
Multi-source replication

by means of eXtremeDB Cluster option
Source-replica replication

by means of eXtremeDB High Availability option

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 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

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic (MVCC) and pessimistic (locking) strategies available

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

LDAP bind authentication

rights management via user accounts

More information provided by the system vendor

Specific characteristics

eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more

Competitive advantages

eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more

Typical application scenarios

IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more

Key customers

Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more

Market metrics

With hundreds of customers and over 30 million devices/applications using the product...
» more

Licensing and pricing models

For server use cases, there is a simple per-server license irrespective of the number...
» more

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

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

show all

Recent citations in the news

McObject Announces Availability of eXtremeDB/rt for Green Hills Software's INTEGRITY RTOS
21 April 2022, GlobeNewswire

McObject Collaborates with Wind River to Deliver First-Ever Deterministic Database System for VxWorks-based Real-Time Embedded Systems
14 September 2021, GlobeNewswire

McObject and Siemens Embedded Announce Immediate Availability of eXtremeDB/rt for Nucleus RTOS
23 February 2022, GlobeNewswire

eXtremeDB 8.1 adds features for easier, more sophisticated database management
19 November 2019, GlobeNewswire

McObject and Lynx Software Technologies Team Up for the First COTS Hard Real-Time DBMS for Mission- and Safety-Critical Systems
21 October 2021, GlobeNewswire

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

WPF Sr. Engineer
LT Technology Services, Santa Clara, 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

jobs by

Share this page