DBMS > DolphinDB vs. Kuzu vs. PieCloudDB

System Properties Comparison DolphinDB vs. Kuzu vs. PieCloudDB

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Editorial information provided by DB-Engines

Name

Description

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

An embeddable property Graph DBMS built for query speed and scalability

A cloud-native analytic database platform with new technologoy for elastic MPP

Primary database model

Time Series DBMS
Vector DBMS

Graph DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	2.20
Rank	#109	Overall
	#8	Time Series DBMS
	#9	Vector DBMS

Score	0.02
Rank	#368	Overall
	#38	Graph DBMS

Score	0.14
Rank	#328	Overall
	#145	Relational DBMS

Website

www.dolphindb.com

kuzudb.com

www.openpie.com

Technical documentation

docs.dolphindb.cn/en/help200/index.html

docs.kuzudb.com

Developer

DolphinDB, Inc

OpenPie

Initial release

2018

2022

Current release

v2.00.4, January 2022

0.4.2, May 2024

2.1, January 2023

License

Commercial or Open Source

commercial

free community version available

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

Linux
Windows

server-less

hosted

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

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

CLI Client
Cypher Query Language

CLI Client
JDBC
ODBC

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

C
C#
C++
Java
JavaScript
Python
Rust

Java
PL/SQL
Python
R

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

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

Administrators, Users, Groups

User Roles and pluggable authentication with full SQL Standard

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