DBMS > AlaSQL vs. H2 vs. Hawkular Metrics vs. RisingWave vs. searchxml

System Properties Comparison AlaSQL vs. H2 vs. Hawkular Metrics vs. RisingWave vs. searchxml

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

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

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Relational DBMS

Native XML DBMS
Search engine

Secondary database models

Spatial DBMS

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

Score	0.41
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	7.10
Rank	#47	Overall
	#29	Relational DBMS

Score	0.00
Rank	#380	Overall
	#40	Time Series DBMS

Score	0.63
Rank	#228	Overall
	#106	Relational DBMS

Score	0.00
Rank	#386	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

alasql.org

www.h2database.com

www.hawkular.org

www.risingwave.com/database

www.searchxml.net/category/products

Technical documentation

github.com/AlaSQL/alasql

www.h2database.com/html/main.html

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

docs.risingwave.com/docs/current/intro

www.searchxml.net/support/handouts

Developer

Andrey Gershun & Mathias R. Wulff

Thomas Mueller

Community supported by Red Hat

RisingWave Labs

informationpartners gmbh

Initial release

2014

2005

2014

2022

2015

Current release

2.2.220, July 2023

1.2, September 2023

1.0

License

Commercial or Open Source

Open Source

MIT-License

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

Apache 2.0

Open Source

Apache Version 2.0

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

JavaScript

Java

Rust

C++

Server operating systems

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

All OS with a Java VM

Linux
OS X
Windows

Docker
Linux
macOS

Windows

Data scheme

schema-free

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

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.

yes

Secondary indexes

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

APIs and other access methods

JavaScript API

JDBC
ODBC

HTTP REST

JDBC
PostgreSQL wire protocol

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

JavaScript

Java

Go
Java
Python
Ruby

Go
Java
JavaScript (Node.js)
Python

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

UDFs in Python or Java

yes

on the application server

Triggers

yes

via Hawkular Alerting

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

With clustering: 2 database servers on different computers operate on identical copies of a database

selectable replication factor

based on Cassandra

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

fine grained access rights according to SQL-standard

Users and Roles

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

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