DBMS > openGemini vs. RocksDB

System Properties Comparison openGemini vs. RocksDB

Please select another system to include it in the comparison.

Our visitors often compare openGemini and RocksDB with Dragonfly, InfluxDB and Memcached.

Editorial information provided by DB-Engines

Name

Description

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

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

Primary database model

Time Series DBMS

Key-value store

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

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Score	3.05
Rank	#88	Overall
	#12	Key-value stores

Website

www.opengemini.org
github.com/openGemini

rocksdb.org

Technical documentation

docs.opengemini.org/guide

github.com/facebook/rocksdb/wiki

Developer

Huawei and openGemini community

Facebook, Inc.

Initial release

2022

2013

Current release

1.1, July 2023

9.4.0, June 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

BSD

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++

Server operating systems

Linux
Windows

Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

Integer, Float, Boolean, String

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

APIs and other access methods

HTTP REST

C++ API
Java API

Supported programming languages

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

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

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

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

Administrators and common users accounts

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Open Source @ Huawei
9 February 2022, huawei.com

provided by Google News

CORRECTING and REPLACING Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
18 October 2024, businesswire.com

Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB At 2024 OCP Global Summit
16 October 2024, BERNAMA

KIOXIA Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
14 October 2024, businesswire.com

provided by Google News

Share this page