DBMS > AlaSQL vs. BigObject vs. H2 vs. RisingWave

System Properties Comparison AlaSQL vs. BigObject vs. H2 vs. RisingWave

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Analytic DBMS for real-time computations and queries

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

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

Primary database model

Document store
Relational DBMS

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	7.57
Rank	#47	Overall
	#30	Relational DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Website

alasql.org

bigobject.io

www.h2database.com

www.risingwave.com/database

Technical documentation

github.com/AlaSQL/alasql

docs.bigobject.io

www.h2database.com/html/main.html

docs.risingwave.com/docs/current/intro

Developer

Andrey Gershun & Mathias R. Wulff

BigObject, Inc.

Thomas Mueller

RisingWave Labs

Initial release

2014

2015

2005

2022

Current release

2.2.220, July 2023

1.2, September 2023

License

Commercial or Open Source

Open Source

MIT-License

commercial

free community edition available

Open Source

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

Open Source

Apache Version 2.0

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

Server operating systems

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

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

All OS with a Java VM

Docker
Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

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.

Secondary indexes

yes

SQL

Support of SQL

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

SQL-like DML and DDL statements

yes

APIs and other access methods

JavaScript API

fluentd
ODBC
RESTful HTTP API

JDBC
ODBC

JDBC
PostgreSQL wire protocol

Supported programming languages

JavaScript

Java

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Lua

Java Stored Procedures and User-Defined Functions

UDFs in Python or Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes, multi-version concurrency control (MVCC)

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

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