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DBMS > Blueflood vs. Hawkular Metrics vs. LevelDB vs. Riak KV vs. SQL.JS

System Properties Comparison Blueflood vs. Hawkular Metrics vs. LevelDB vs. Riak KV vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Distributed, fault tolerant key-value store

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Time Series DBMS

Key-value store

Key-value store

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

Relational DBMS

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

Score	0.06
Rank	#352	Overall
	#36	Time Series DBMS

Score	0.01
Rank	#377	Overall
	#39	Time Series DBMS

Score	2.33
Rank	#111	Overall
	#19	Key-value stores

Score	3.84
Rank	#76	Overall
	#9	Key-value stores

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

www.hawkular.org

github.com/google/leveldb

Technical documentation

github.com/rax-maas/blueflood/wiki

www.hawkular.org/hawkular-metrics/docs/user-guide

github.com/google/leveldb/blob/main/doc/index.md

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

sql.js.org/documentation/index.html

Developer

Rackspace

Community supported by Red Hat

Google

OpenSource, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2013

2014

2011

2009

2012

Current release

1.23, February 2021

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 2.0

Open Source

BSD

Open Source

Apache version 2, commercial enterprise edition

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Java

C++

Erlang

JavaScript

Server operating systems

Linux
OS X

Linux
OS X
Windows

Illumos
Linux
OS X
Windows

Linux
OS X

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

Data scheme

predefined scheme

schema-free

schema-free

schema-free

yes

Typing

predefined data types such as float or date

yes

yes

no

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

no

Secondary indexes

no

no

no

restricted

SQL

Support of SQL

no

no

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

HTTP REST

HTTP REST

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

Go
Java
Python
Ruby

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

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

no

Erlang

no

Triggers

no

yes

via Hawkular Alerting

no

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

based on Cassandra

none

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

selectable replication factor

based on Cassandra

none

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

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

no

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

yes

Durability

Support for making data persistent

yes

yes

yes

with automatic compression on writes

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

no

yes

User concepts

Access control

no

no

no

yes, using Riak Security

no

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