DBMS > Atos Standard Common Repository vs. Badger vs. SpaceTime vs. SQL.JS

System Properties Comparison Atos Standard Common Repository vs. Badger vs. SpaceTime vs. SQL.JS

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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

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Port of SQLite to JavaScript

Primary database model

Document store
Key-value store

Key-value store

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.22
Rank	#320	Overall
	#47	Key-value stores

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

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

github.com/dgraph-io/badger

www.mireo.com/spacetime

sql.js.org

Technical documentation

godoc.org/github.com/dgraph-io/badger

sql.js.org/documentation/index.html

Developer

Atos Convergence Creators

DGraph Labs

Mireo

Alon Zakai

enhancements implemented by others

Initial release

2016

2017

2020

2012

Current release

1703

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

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++

JavaScript

Server operating systems

Linux

BSD
Linux
OS X
Solaris
Windows

Linux

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

Schema and schema-less with LDAP views

schema-free

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

A subset of ANSI SQL is implemented

yes

SQL-92 is not fully supported

APIs and other access methods

LDAP

RESTful HTTP API

JavaScript API

Supported programming languages

All languages with LDAP bindings

C#
C++
Python

JavaScript

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Fixed-grid hypercubes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Real-time block device replication (DRBD)

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

none

Immediate Consistency

none

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

except by serializing a db to a file

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

yes

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More resources

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