DBMS > ITTIA vs. Kuzu vs. Ultipa

System Properties Comparison ITTIA vs. Kuzu vs. Ultipa

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Editorial information provided by DB-Engines

Name

Description

Edge Time Series DBMS with Real-Time Stream Processing

An embeddable property Graph DBMS built for query speed and scalability

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Time Series DBMS

Graph DBMS

Secondary database models

Relational DBMS

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

Score	0.44
Rank	#267	Overall
	#23	Time Series DBMS

Score	0.00
Rank	#402	Overall
	#41	Graph DBMS

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

www.ittia.com

kuzudb.com

www.ultipa.com

Technical documentation

docs.kuzudb.com

www.ultipa.com/document

Developer

ITTIA L.L.C.

Ultipa

Initial release

2007

2022

2019

Current release

8.7

0.4.2, May 2024

License

Commercial or Open Source

commercial

Open Source

MIT license

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

C++

Server operating systems

Linux
Windows

server-less

Data scheme

Fixed schema

yes

Typing

predefined data types such as float or date

Float/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval

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

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API
WebSocket

CLI Client
Cypher Query Language

RESTful HTTP API

Supported programming languages

C
C++
JavaScript (Node.js)
Python

C
C#
C++
Java
JavaScript
Python
Rust

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

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.

yes

User concepts

Access control

Database file passwords

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More resources

Recent citations in the news

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