DBMS > Kuzu vs. LeanXcale vs. SiteWhere

System Properties Comparison Kuzu vs. LeanXcale vs. SiteWhere

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Editorial information provided by DB-Engines

Name

Description

An embeddable property Graph DBMS built for query speed and scalability

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

M2M integration platform for persisting/querying time series data

Primary database model

Graph DBMS

Key-value store
Relational DBMS

Time Series DBMS

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

Score	0.02
Rank	#368	Overall
	#38	Graph DBMS

Score	0.23
Rank	#298	Overall
	#43	Key-value stores
	#134	Relational DBMS

Score	0.07
Rank	#345	Overall
	#32	Time Series DBMS

Website

kuzudb.com

www.leanxcale.com

github.com/sitewhere/sitewhere

Technical documentation

docs.kuzudb.com

sitewhere1.sitewhere.io/index.html

Developer

LeanXcale

SiteWhere

Initial release

2022

2015

2010

Current release

0.4.2, May 2024

License

Commercial or Open Source

Open Source

MIT license

commercial

Open Source

Common Public Attribution License Version 1.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Java

Server operating systems

server-less

Linux
OS X
Windows

Data scheme

yes

predefined scheme

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

yes

through Apache Derby

APIs and other access methods

CLI Client
Cypher Query Language

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

HTTP REST

Supported programming languages

C
C#
C++
Java
JavaScript
Python
Rust

C
Java
Scala

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

based on HBase

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

yes

Transaction concepts

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

ACID

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.

yes

User concepts

Access control

Users with fine-grained authorization concept

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More resources

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