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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Hawkular Metrics vs. Heroic vs. OrigoDB vs. SQL.JS

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Hawkular Metrics vs. Heroic vs. OrigoDB vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

A fully ACID in-memory object graph database

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Time Series DBMS

Time Series DBMS

Document store
Object oriented DBMS

Relational DBMS

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

Score	0.68
Rank	#231	Overall
	#105	Relational DBMS

Score	0.00
Rank	#379	Overall
	#40	Time Series DBMS

Score	0.51
Rank	#255	Overall
	#21	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#53	Document stores
	#20	Object oriented DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.alibabacloud.com/product/hybriddb-postgresql

www.hawkular.org

github.com/spotify/heroic

Technical documentation

www.alibabacloud.com/help/en/analyticdb-for-postgresql/latest/product-introduction-overview

www.hawkular.org/hawkular-metrics/docs/user-guide

spotify.github.io/heroic

origodb.com/docs

sql.js.org/documentation/index.html

Developer

Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group

Community supported by Red Hat

Spotify

Robert Friberg et al

Alon Zakai

enhancements implemented by others

Initial release

2016

2014

2014

2009

under the name LiveDB

2012

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

Open Source

Open Source

Cloud-based only

Only available as a cloud service

yes

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Java

C#

JavaScript

Server operating systems

hosted

Linux
OS X
Windows

Linux
Windows

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

Data scheme

yes

schema-free

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

User defined using .NET types and collections

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

no

no

no

can be achieved using .NET

no

Secondary indexes

yes

no

yes

via Elasticsearch

yes

SQL

Support of SQL

yes

no

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

HTTP REST

HQL (Heroic Query Language, a JSON-based language)
HTTP API

.NET Client API
HTTP API
LINQ

JavaScript API

Supported programming languages

C
Java
Perl
Python
R

Go
Java
Python
Ruby

.Net

JavaScript

Server-side scripts

Stored procedures

yes

no

no

yes

no

Triggers

yes

yes

via Hawkular Alerting

no

yes

Domain Events

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

based on Cassandra

Sharding

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

selectable replication factor

based on Cassandra

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

no

depending on model

yes

Transaction concepts

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

ACID

no

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

yes

Write ahead log

no

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.

no

no

no

yes

yes

User concepts

Access control

fine grained access rights according to SQL-standard

no

Role based authorization

no

More information provided by the system vendor

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