DBMS > AgensGraph vs. Atos Standard Common Repository vs. HBase

System Properties Comparison AgensGraph vs. Atos Standard Common Repository vs. HBase

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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

Multi-model database supporting relational and graph data models and built upon PostgreSQL

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

Wide-column store based on Apache Hadoop and on concepts of BigTable

Primary database model

Graph DBMS
Relational DBMS

Document store
Key-value store

Wide column store

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

Score	0.20
Rank	#321	Overall
	#27	Graph DBMS
	#143	Relational DBMS

Score	30.50
Rank	#26	Overall
	#2	Wide column stores

Website

bitnine.net/agensgraph

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

hbase.apache.org

Technical documentation

bitnine.net/documentation

hbase.apache.org/book.html

Developer

Bitnine Global Inc.

Atos Convergence Creators

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Initial release

2016

2008

Current release

2.1, December 2018

1703

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

Apache version 2

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

Server operating systems

Linux
OS X
Windows

Linux

Linux
Unix
Windows

using Cygwin

Data scheme

depending on used data model

Schema and schema-less with LDAP views

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

optional

options to bring your own types, AVRO

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

Cypher Query Language
JDBC

LDAP

Java API
RESTful HTTP API
Thrift

Supported programming languages

C
Java
JavaScript
Python

All languages with LDAP bindings

C
C#
C++
Groovy
Java
PHP
Python
Scala

Server-side scripts

Stored procedures

yes

Coprocessors in Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

Sharding

cell division

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

Single row ACID (across millions of columns)

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

fine grained access rights according to SQL-standard

LDAP bind authentication

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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