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DBMS > Badger vs. Datastax Enterprise vs. Riak KV vs. SQL.JS

System Properties Comparison Badger vs. Datastax Enterprise vs. Riak KV 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.

DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.

Distributed, fault tolerant key-value store

Port of SQLite to JavaScript

Primary database model

Key-value store

Wide column store

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS

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

Score	0.20
Rank	#325	Overall
	#49	Key-value stores

Score	6.31
Rank	#57	Overall
	#4	Wide column stores

Score	4.44
Rank	#80	Overall
	#9	Key-value stores

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

github.com/dgraph-io/badger

www.datastax.com/products/datastax-enterprise

Technical documentation

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

docs.datastax.com

www.tiot.jp/riak-docs/riak/kv/latest

sql.js.org/documentation/index.html

Developer

DGraph Labs

DataStax

OpenSource, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2017

2011

2009

2012

Current release

6.8, April 2020

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache version 2, commercial enterprise edition

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.

Implementation language

Go

Java

Erlang

JavaScript

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux
OS X

Linux
OS X

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

Data scheme

schema-free

schema-free

schema-free

yes

Typing

predefined data types such as float or date

no

yes

no

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

yes

restricted

SQL

Support of SQL

no

SQL-like DML and DDL statements (CQL); Spark SQL

no

yes

SQL-92 is not fully supported

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

Go

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

C

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

JavaScript

Server-side scripts

Stored procedures

no

no

Erlang

no

Triggers

no

yes

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

configurable replication factor, datacenter aware, advanced replication for edge computing

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency
Tunable Consistency

consistency level can be individually decided with each write operation

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

no

links between data sets can be stored

yes

Transaction concepts

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

no

no

Atomicity and isolation are supported for single operations

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

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

yes

yes

User concepts

Access control

no

Access rights for users can be defined per object

yes, using Riak Security

no

More information provided by the system vendor

Specific characteristics

DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more

Competitive advantages

Supporting the following application requirements: Zero downtime - Built on Apache...
» more

Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able...
» more

Key customers

Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more

Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more

Licensing and pricing models

Annual subscription
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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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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