DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. Atos Standard Common Repository vs. BigchainDB vs. Cassandra vs. Newts

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. Atos Standard Common Repository vs. BigchainDB vs. Cassandra vs. Newts

Editorial information provided by DB-Engines

Name

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

Description

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

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

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Time Series DBMS based on Cassandra

Primary database model

Relational DBMS

Document store
Key-value store

Document store

Wide column store

Time Series DBMS

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

Score	0.52
Rank	#237	Overall
	#113	Relational DBMS

Score	0.77
Rank	#200	Overall
	#32	Document stores

Score	118.01
Rank	#11	Overall
	#1	Wide column stores

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

www.alibabacloud.com/product/polardb

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

www.bigchaindb.com

cassandra.apache.org

opennms.github.io/newts

Technical documentation

www.alibabacloud.com/help/doc-detail/58764.htm

bigchaindb.readthedocs.io/en/latest

cassandra.apache.org/doc/latest

github.com/OpenNMS/newts/wiki

Developer

Alibaba

Atos Convergence Creators

Apache Software Foundation

Apache top level project, originally developped by Facebook

OpenNMS Group

Initial release

2016

2008

2014

Current release

1703

4.0.4, May 2022

License

Commercial or Open Source

commercial

Open Source

AGPL v3

Open Source

Apache version 2

Open Source

Apache 2.0

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

Python

Java

Server operating systems

hosted

Linux

BSD
Linux
OS X
Windows

Linux
OS X
Windows

Data scheme

yes

Schema and schema-less with LDAP views

schema-free

Typing

predefined data types such as float or date

yes

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

restricted

only equality queries, not always the best performing solution

SQL

Support of SQL

yes

SQL-like SELECT, DML and DDL statements (CQL)

APIs and other access methods

JDBC
ODBC

LDAP

CLI Client
RESTful HTTP API

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

HTTP REST
Java API

Supported programming languages

Java
Python

All languages with LDAP bindings

Go
Haskell
Java
JavaScript
Python
Ruby

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

cell division

Sharding

no "single point of failure"

Sharding

based on Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

selectable replication factor

Representation of geographical distribution of servers is possible

selectable replication factor

based on Cassandra

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

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

Atomicity and isolation are supported for single operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes,with MongoDB ord RethinkDB

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

yes

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

ApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
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Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantages

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No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenarios

Creating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
» more

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.