DBMS > Hawkular Metrics vs. searchxml vs. SQL.JS vs. SQream DB

System Properties Comparison Hawkular Metrics vs. searchxml vs. SQL.JS vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

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

DBMS for structured and unstructured content wrapped with an application server

Port of SQLite to JavaScript

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Time Series DBMS

Native XML DBMS
Search engine

Relational DBMS

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

Score	0.00
Rank	#379	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Score	0.70
Rank	#227	Overall
	#104	Relational DBMS

Website

www.hawkular.org

www.searchxml.net/category/products

sql.js.org

sqream.com

Technical documentation

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

www.searchxml.net/support/handouts

sql.js.org/documentation/index.html

docs.sqream.com

Developer

Community supported by Red Hat

informationpartners gmbh

Alon Zakai

enhancements implemented by others

SQream Technologies

Initial release

2014

2015

2012

2017

Current release

1.0

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

JavaScript

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux
OS X
Windows

Windows

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

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-92 is not fully supported

yes

APIs and other access methods

HTTP REST

RESTful HTTP API
WebDAV
XQuery
XSLT

JavaScript API

.Net
JDBC
ODBC

Supported programming languages

Go
Java
Python
Ruby

C++

most other programming languages supported via APIs

JavaScript

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

on the application server

user defined functions in Python

Triggers

yes

via Hawkular Alerting

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes

sychronisation to multiple collections

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

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

Domain, group and role-based access control at the document level and for application services

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More resources

DB-Engines blog posts

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1 December 2014, Matthias Gelbmann

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