DBMS > Badger vs. openGemini vs. YTsaurus

System Properties Comparison Badger vs. openGemini vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

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

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Key-value store

Time Series DBMS

Document store
Key-value store

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

Score	0.14
Rank	#328	Overall
	#48	Key-value stores

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.15
Rank	#323	Overall
	#44	Document stores
	#47	Key-value stores

Website

github.com/dgraph-io/badger

www.opengemini.org
github.com/openGemini

ytsaurus.tech

Technical documentation

godoc.org/github.com/dgraph-io/badger

docs.opengemini.org/guide

ytsaurus.tech/docs/en

Developer

DGraph Labs

Huawei and openGemini community

Yandex

Initial release

2017

2022

2023

Current release

1.1, July 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux
Windows

Ubuntu

Data scheme

schema-free

Typing

predefined data types such as float or date

Integer, Float, Boolean, String

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

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP REST

Supported programming languages

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

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Foreign keys

Referential integrity

Transaction concepts

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

ACID

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

Access Control Lists

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