DBMS > Apache Spark (SQL) vs. Kuzu

System Properties Comparison Apache Spark (SQL) vs. Kuzu

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Editorial information provided by DB-Engines

Name

Description

Apache Spark SQL is a component on top of 'Spark Core' for structured data processing

An embeddable property Graph DBMS built for query speed and scalability

Primary database model

Relational DBMS

Graph DBMS

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

Score	19.76
Rank	#30	Overall
	#18	Relational DBMS

Score	0.07
Rank	#350	Overall
	#37	Graph DBMS

Website

spark.apache.org/sql

kuzudb.com

Technical documentation

spark.apache.org/docs/latest/sql-programming-guide.html

docs.kuzudb.com

Developer

Apache Software Foundation

Initial release

2014

2022

Current release

3.5.0 ( 2.13), September 2023

0.4.2, May 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

MIT license

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Scala

C++

Server operating systems

Linux
OS X
Windows

server-less

Data scheme

yes

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

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

CLI Client
Cypher Query Language

Supported programming languages

Java
Python
R
Scala

C
C#
C++
Java
JavaScript
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes, utilizing Spark Core

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

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