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DBMS > Badger vs. Google Cloud Bigtable vs. Lovefield vs. SQL.JS

System Properties Comparison Badger vs. Google Cloud Bigtable vs. Lovefield vs. SQL.JS

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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.

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Embeddable relational database for web apps written in pure JavaScript

Port of SQLite to JavaScript

Primary database model

Key-value store

Key-value store
Wide column store

Relational DBMS

Relational DBMS

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

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

Score	2.97
Rank	#92	Overall
	#15	Key-value stores
	#8	Wide column stores

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

github.com/dgraph-io/badger

cloud.google.com/bigtable

google.github.io/lovefield

Technical documentation

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

cloud.google.com/bigtable/docs

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

sql.js.org/documentation/index.html

Developer

DGraph Labs

Google

Google

Alon Zakai

enhancements implemented by others

Initial release

2017

2015

2014

2012

Current release

2.1.12, February 2017

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache 2.0

Open Source

Cloud-based only

Only available as a cloud service

no

yes

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Go

JavaScript

JavaScript

Server operating systems

BSD
Linux
OS X
Solaris
Windows

hosted

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

tested with Chrome, Firefox, IE, Safari

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

Data scheme

schema-free

schema-free

yes

yes

Typing

predefined data types such as float or date

no

no

yes

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.

no

no

no

no

Secondary indexes

no

no

yes

SQL

Support of SQL

no

no

SQL-like query language

via JavaScript builder pattern

yes

SQL-92 is not fully supported

APIs and other access methods

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

JavaScript API

Supported programming languages

Go

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

JavaScript

JavaScript

Server-side scripts

Stored procedures

no

no

no

no

Triggers

no

no

Using read-only observers

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Internal replication in Colossus, and regional replication between two clusters in different zones

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

none

Foreign keys

Referential integrity

no

no

yes

yes

Transaction concepts

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

no

Atomic single-row operations

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

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

no

except by serializing a db to a file

In-memory capabilities

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

no

no

yes

using MemoryDB

yes

User concepts

Access control

no

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

no

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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