DBMS > Databend vs. JSqlDb vs. MonetDB vs. StarRocks

System Properties Comparison Databend vs. JSqlDb vs. MonetDB vs. StarRocks

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Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

JavaScript Query Language Database, stores JavaScript objects and primitives

A relational database management system that stores data in columns

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.28
Rank	#287	Overall
	#131	Relational DBMS

Score	1.72
Rank	#135	Overall
	#62	Relational DBMS

Score	0.95
Rank	#193	Overall
	#89	Relational DBMS

Website

github.com/datafuselabs/databend
www.databend.com

jsqldb.org (offline)

www.monetdb.org

www.starrocks.io

Technical documentation

docs.databend.com

www.monetdb.org/Documentation

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Databend Labs

Konrad von Backstrom

MonetDB BV

The Linux Foundation

since Feb 2023

Initial release

2021

2018

2004

2020

Current release

1.0.59, April 2023

0.8, December 2018

Dec2023 (11.49), December 2023

3.3, June 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Mozilla Public License 2.0

Open Source

Apache Version 2.0

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

Rust

C++, Java

Server operating systems

hosted
Linux
macOS

Linux
macOS
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Linux

Data scheme

yes

schema-free

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

yes

SQL 2003 with some extensions

yes

APIs and other access methods

CLI Client
JDBC
RESTful HTTP API

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

JDBC
MySQL protocol

Supported programming languages

Go
Java
JavaScript (Node.js)
Python
Rust

JavaScript

C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Java

Server-side scripts

Stored procedures

functions in JavaScript

yes, in SQL, C, R

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding via remote tables

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication available in experimental status

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

Durability

Support for making data persistent

yes

using RocksDB

yes

In-memory capabilities

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

User concepts

Access control

Users with fine-grained authorization concept, user roles

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

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