DBMS > Badger vs. gStore vs. Lovefield vs. YTsaurus

System Properties Comparison Badger vs. gStore vs. Lovefield 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.

A native Graph DBMS to store and maintain very large RDF datasets.

Embeddable relational database for web apps written in pure JavaScript

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

Primary database model

Key-value store

Graph DBMS
RDF store

Relational DBMS

Document store
Key-value store

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

Score	0.22
Rank	#320	Overall
	#47	Key-value stores

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	0.33
Rank	#286	Overall
	#131	Relational DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

github.com/dgraph-io/badger

en.gstore.cn

google.github.io/lovefield

ytsaurus.tech

Technical documentation

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

en.gstore.cn/#/enDocs

github.com/google/lovefield/blob/master/docs/spec_index.md

ytsaurus.tech/docs/en

Developer

DGraph Labs

Google

Yandex

Initial release

2017

2016

2014

2023

Current release

1.2, November 2023

2.1.12, February 2017

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD

Open Source

Apache 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++

JavaScript

C++

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Ubuntu

Data scheme

schema-free

schema-free and OWL/RDFS-schema support

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

via JavaScript builder pattern

YQL, an SQL-based language, is supported

APIs and other access methods

HTTP API
SPARQL 1.1

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

JavaScript

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Triggers

Using read-only observers

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

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

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

Users, roles and permissions, Role-Based Access Control (RBAC) supported

Access Control Lists

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