DBMS > Microsoft Azure Cosmos DB vs. RRDtool

System Properties Comparison Microsoft Azure Cosmos DB vs. RRDtool

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Our visitors often compare Microsoft Azure Cosmos DB and RRDtool with InfluxDB, Graphite and MySQL.

Editorial information provided by DB-Engines

Name

Description

Globally distributed, horizontally scalable, multi-model database service

Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. info

The data is stored in a circular buffer, thus the system storage footprint remains constant over time.

Primary database model

Document store
Graph DBMS
Key-value store
Wide column store

Time Series DBMS

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

Score	30.73
Rank	#25	Overall
	#3	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	3.02
Rank	#97	Overall
	#5	Time Series DBMS

Website

azure.microsoft.com/services/cosmos-db

oss.oetiker.ch/rrdtool

Technical documentation

docs.microsoft.com/en-us/azure/cosmos-db

oss.oetiker.ch/rrdtool/doc

Developer

Microsoft

Tobias Oetiker

Initial release

2014

1999

Current release

1.7.2, May 2019

License

Commercial or Open Source

commercial

Open Source info

GPL V2 and FLOSS

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Implementations in Java (e.g. RRD4J) and C# available

Server operating systems

hosted

HP-UX
Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

JSON types

Numeric data only

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Exporting into and restoring from XML files possible

Secondary indexes

yes

All properties auto-indexed by default

SQL

Support of SQL

SQL-like query language

APIs and other access methods

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

in-process shared library
Pipes

Supported programming languages

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

with librrd library
C# info

with a different implementation of RRDTool
Java info

with a different implementation of RRDTool
JavaScript (Node.js) info

with a different implementation of RRDTool
Lua
Perl
PHP info

with a wrapper library
Python
Ruby

Server-side scripts info

Stored procedures

JavaScript

Triggers

JavaScript

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

Consistency concepts info

Methods to ensure consistency in a distributed system

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

none

Foreign keys info

Referential integrity

Transaction concepts info

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

Multi-item ACID transactions with snapshot isolation within a partition

Concurrency info

Support for concurrent manipulation of data

yes

by using the rrdcached daemon

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights can be defined down to the item level

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