DBMS > OpenQM vs. RocksDB vs. StarRocks

System Properties Comparison OpenQM vs. RocksDB vs. StarRocks

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Editorial information provided by DB-Engines

Name

Description

QpenQM is a high-performance, self-tuning, multi-value DBMS

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

Multivalue DBMS

Key-value store

Relational DBMS

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

Score	0.60
Rank	#275	Overall
	#9	Multivalue DBMS

Score	3.92
Rank	#94	Overall
	#15	Key-value stores

Score	1.03
Rank	#220	Overall
	#104	Relational DBMS

Website

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

rocksdb.org

www.starrocks.io

Technical documentation

github.com/facebook/rocksdb/wiki

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

Developer

Rocket Software, originally Martin Phillips

Facebook, Inc.

The Linux Foundation

since Feb 2023

Initial release

1993

2013

2020

Current release

3.4-12

7.10.2, March 2023

2.5.3, March 2023

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

Open Source

BSD

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.

CelerData Cloud – Realtime-analytics delivered at the push of a button

Implementation language

C++

C++, Java

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux

Data scheme

yes

with some exceptions

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

C++ API
Java API

JDBC
MySQL protocol

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

C
C++
Go
Java
Perl
Python
Ruby

Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

Concurrency

Support for concurrent manipulation of data

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

Access rights can be defined down to the item level

Role based access control and fine grained access rights

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

Real-time analytics Fraud detection System monitoring analytics User facing analytics...
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Key customers

Trip.com Yoozoo Zepp health Airbnb Lenovo Tencent
» more

Market metrics

4.4k stars, 223 contributors on GitHub 971 members on Slack *a s of April 2023:
» more

Licensing and pricing models

Apache-2.0 license Pay-as-you-go BYOC cloud service by CelerData
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