DBMS > Atos Standard Common Repository vs. OrigoDB vs. Riak TS vs. Rockset vs. VoltDB

System Properties Comparison Atos Standard Common Repository vs. OrigoDB vs. Riak TS vs. Rockset vs. VoltDB

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

A fully ACID in-memory object graph database

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Document store
Key-value store

Document store
Object oriented DBMS

Time Series DBMS

Document store

Relational DBMS

Secondary database models

Relational DBMS
Search engine

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

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Score	0.17
Rank	#318	Overall
	#27	Time Series DBMS

Score	1.07
Rank	#180	Overall
	#31	Document stores

Score	1.38
Rank	#156	Overall
	#72	Relational DBMS

Website

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

origodb.com

rockset.com

www.voltdb.com

Technical documentation

origodb.com/docs

www.tiot.jp/riak-docs/riak/ts/latest

docs.rockset.com

docs.voltdb.com

Developer

Atos Convergence Creators

Robert Friberg et al

Open Source, formerly Basho Technologies

Rockset

VoltDB Inc.

Initial release

2016

2009

under the name LiveDB

2015

2019

2010

Current release

1703

3.0.0, September 2022

11.3, April 2022

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Erlang

C++

Java, C++

Server operating systems

Linux

Linux
Windows

Linux
OS X

hosted

Linux
OS X

for development

Data scheme

Schema and schema-less with LDAP views

yes

schema-free

yes

Typing

predefined data types such as float or date

optional

User defined using .NET types and collections

dynamic typing

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

can be achieved using .NET

ingestion from XML files supported

Secondary indexes

yes

restricted

all fields are automatically indexed

yes

SQL

Support of SQL

yes, limited

Read-only SQL queries, including JOINs

yes

only a subset of SQL 99

APIs and other access methods

LDAP

.NET Client API
HTTP API
LINQ

HTTP API
Native Erlang Interface

HTTP REST

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

All languages with LDAP bindings

.Net

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Go
Java
JavaScript (Node.js)
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

Erlang

Java

Triggers

yes

Domain Events

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

horizontal partitioning

client side managed; servers are not synchronized

Sharding

Automatic sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

selectable replication factor

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

depending on model

links between datasets can be stored

FOREIGN KEY constraints are not supported

Transaction concepts

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

Atomic execution of specific operations

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Write ahead log

yes

Snapshots and command logging

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

Role based authorization

Access rights for users and organizations can be defined via Rockset console

Users and roles with access to stored procedures

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