DBMS > Amazon DynamoDB vs. Memgraph vs. OpenQM

System Properties Comparison Amazon DynamoDB vs. Memgraph vs. OpenQM

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Document store
Key-value store

Graph DBMS

Multivalue DBMS

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

Score	61.63
Rank	#16	Overall
	#2	Document stores
	#2	Key-value stores

Score	0.05
Rank	#314	Overall
	#30	Graph DBMS

Score	0.27
Rank	#243	Overall
	#10	Multivalue DBMS

Website

aws.amazon.com/dynamodb

memgraph.com

www.openqm.com

Technical documentation

docs.aws.amazon.com/dynamodb

docs.memgraph.com

www.openqm.com/support/documentation

Developer

Amazon

Memgraph Ltd

Martin Phillips

Initial release

2012

2017

1993

Current release

3.4-12

License

Commercial or Open Source

commercial info

free tier for a limited amount of database operations

commercial info

Free license available

Open Source info

GPLv2, extended commercial license available

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

C and C++

Server operating systems

hosted

Linux

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

schema-free

schema-free and schema-optional

yes

with some exceptions

Typing

predefined data types such as float or date

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

RESTful HTTP API

Bolt protocol
Cypher query language

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts info

Stored procedures

yes

Triggers

yes

by integration with AWS Lambda

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

dynamic graph partitioning

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Multi-Master replication using RAFT

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be specified for read operations

Immediate Consistency

Foreign keys info

Referential integrity

yes

relationships in graphs

Transaction concepts info

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

with snapshot isolation

ACID

Concurrency info

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability info

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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 for users and roles can be defined via the AWS Identity and Access Management (IAM)

Users, roles and permissions

Access rights can be defined down to the item level

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