DBMS > Kuzu vs. Microsoft Azure Table Storage

System Properties Comparison Kuzu vs. Microsoft Azure Table Storage

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Our visitors often compare Kuzu and Microsoft Azure Table Storage with Memgraph, PostgreSQL and Oracle.

Editorial information provided by DB-Engines

Name

Description

An embeddable property Graph DBMS built for query speed and scalability

A Wide Column Store for rapid development using massive semi-structured datasets

Primary database model

Graph DBMS

Wide column store

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

Score	0.02
Rank	#368	Overall
	#38	Graph DBMS

Score	2.63
Rank	#94	Overall
	#7	Wide column stores

Website

kuzudb.com

azure.microsoft.com/en-us/services/storage/tables

Technical documentation

docs.kuzudb.com

Developer

Microsoft

Initial release

2022

2012

Current release

0.4.2, May 2024

License

Commercial or Open Source

Open Source

MIT license

commercial

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.

Implementation language

C++

Server operating systems

server-less

hosted

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

SQL

Support of SQL

APIs and other access methods

CLI Client
Cypher Query Language

RESTful HTTP API

Supported programming languages

C
C#
C++
Java
JavaScript
Python
Rust

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

User concepts

Access control

Access rights based on private key authentication or shared access signatures

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