DBMS > GRAKN.AI vs. Microsoft Azure Cosmos DB vs. RRDtool

System Properties Comparison GRAKN.AI vs. Microsoft Azure Cosmos DB vs. RRDtool

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Editorial information provided by DB-Engines

Name

Description

Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.

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

Graph DBMS
Relational DBMS info

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

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	0.23
Rank	#248	Overall
	#19	Graph DBMS
	#116	Relational DBMS

Score	31.43
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	2.74
Rank	#93	Overall
	#5	Time Series DBMS

Website

grakn.ai

azure.microsoft.com/services/cosmos-db

oss.oetiker.ch/rrdtool

Technical documentation

dev.grakn.ai/docs

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

oss.oetiker.ch/rrdtool/doc

Developer

Grakn Labs Ltd

Microsoft

Tobias Oetiker

Initial release

2016

2014

1999

Current release

1.6.1, December 2019

1.7.2, May 2019

License

Commercial or Open Source

Open Source info

GPL Version 3, commercial licenses available

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

Java

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

Server operating systems

Linux
OS X
Windows

hosted

HP-UX
Linux

Data scheme

yes

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

console (shell)
gRPC protocol
Workbase (visualisation software)

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

in-process shared library
Pipes

Supported programming languages

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

.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

by using Cassandra

Sharding

Implicit feature of the cloud service

none

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication info

by using Cassandra

yes

Implicit feature of the cloud service

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

by using Apache Kafka and Apache Zookeeper

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level
Session Consistency

none

Foreign keys info

Referential integrity

substituted by the relationship feature

Transaction concepts info

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

ACID

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

yes

at REST API level; other APIs in progress

Access rights can be defined down to the item level

More information provided by the system vendor

Specific characteristics

Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more

Competitive advantages

Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more

Typical application scenarios

Life sciences : Grakn makes working with biological data much easier and accelerates...
» more

Licensing and pricing models

AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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