DBMS > Atos Standard Common Repository vs. HyperSQL vs. OpenMLDB vs. Realm

System Properties Comparison Atos Standard Common Repository vs. HyperSQL vs. OpenMLDB vs. Realm

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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

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

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

An open-source machine learning database that provides a feature platform for training and inference

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Primary database model

Document store
Key-value store

Relational DBMS

Time Series DBMS

Document store

Secondary database models

Relational DBMS

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

Score	3.49
Rank	#87	Overall
	#47	Relational DBMS

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Score	7.60
Rank	#52	Overall
	#9	Document stores

Website

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

hsqldb.org

openmldb.ai

realm.io

Technical documentation

hsqldb.org/web/hsqlDocsFrame.html

openmldb.ai/docs/zh/main

realm.io/docs

Developer

Atos Convergence Creators

4 Paradigm Inc.

Realm, acquired by MongoDB in May 2019

Initial release

2016

2001

2020

2014

Current release

1703

2.7.2, June 2023

2024-2 February 2024

License

Commercial or Open Source

commercial

Open Source

based on BSD license

Open Source

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++, Java, Scala

Server operating systems

Linux

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux

Android
Backend: server-less
iOS
Windows

Data scheme

Schema and schema-less with LDAP views

yes

Fixed schema

yes

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

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

LDAP

HTTP API

JDBC via HTTP
JDBC
ODBC

JDBC
SQLAlchemy

Supported programming languages

All languages with LDAP bindings

All languages supporting JDBC/ODBC
Java

C++
Go
Java
Python
Scala

.Net
Java

with Android only
Objective-C
React Native
Swift

Server-side scripts

Stored procedures

Java, SQL

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Source-replica replication

none

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

Immediate Consistency

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

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

In-Memory realm

User concepts

Access control

LDAP bind authentication

fine grained access rights according to SQL-standard

yes

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More resources

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