DBMS > Atos Standard Common Repository vs. ReductStore vs. STSdb vs. ToroDB vs. Transwarp StellarDB

System Properties Comparison Atos Standard Common Repository vs. ReductStore vs. STSdb vs. ToroDB vs. Transwarp StellarDB

Editorial information provided by DB-Engines

Name

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

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A MongoDB-compatible JSON document store, built on top of PostgreSQL

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Document store
Key-value store

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

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.04
Rank	#360	Overall
	#52	Key-value stores

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Website

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

github.com/reductstore
www.reduct.store

github.com/STSSoft/STSdb4

github.com/torodb/server

www.transwarp.cn/en/product/stellardb

Technical documentation

www.reduct.store/docs

Developer

Atos Convergence Creators

ReductStore LLC

STS Soft SC

8Kdata

Transwarp

Initial release

2016

2023

2011

2016

Current release

1703

1.9, March 2024

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open Source

Business Source License 1.1

Open Source

GPLv2, commercial license available

Open Source

AGPL-V3

commercial

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++, Rust

Java

Server operating systems

Linux

Docker
Linux
macOS
Windows

Windows

All OS with a Java 7 VM

Data scheme

Schema and schema-less with LDAP views

yes

schema-free

Typing

predefined data types such as float or date

optional

yes

primitive types and user defined types (classes)

yes

string, integer, double, boolean, date, object_id

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

SQL-like query language

APIs and other access methods

LDAP

HTTP API

.NET Client API

OpenCypher

Supported programming languages

All languages with LDAP bindings

C++
JavaScript (Node.js)
Python
Rust

C#
Java

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

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 or Eventual Consistency depending on configuration

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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

LDAP bind authentication

Access rights for users and roles

yes

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Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

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