DBMS > AlaSQL vs. Amazon Redshift vs. RisingWave vs. TerminusDB

System Properties Comparison AlaSQL vs. Amazon Redshift vs. RisingWave vs. TerminusDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Large scale data warehouse service for use with business intelligence tools

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

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Primary database model

Document store
Relational DBMS

Relational DBMS

Graph DBMS

Secondary database models

Document store
RDF store

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Trend Chart

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	0.64
Rank	#238	Overall
	#110	Relational DBMS

Score	0.23
Rank	#316	Overall
	#27	Graph DBMS

Website

alasql.org

aws.amazon.com/redshift

www.risingwave.com/database

terminusdb.com

Technical documentation

github.com/AlaSQL/alasql

docs.aws.amazon.com/redshift

docs.risingwave.com/docs/current/intro

terminusdb.github.io/terminusdb/#

Developer

Andrey Gershun & Mathias R. Wulff

Amazon (based on PostgreSQL)

RisingWave Labs

DataChemist Ltd.

Initial release

2014

2012

2022

2018

Current release

1.2, September 2023

11.0.0, January 2023

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2.0

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

Rust

Prolog, Rust

Server operating systems

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

hosted

Docker
Linux
macOS

Linux

Data scheme

schema-free

yes

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.

Secondary indexes

restricted

yes

SQL

Support of SQL

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

yes

does not fully support an SQL-standard

yes

SQL-like query language (WOQL)

APIs and other access methods

JavaScript API

JDBC
ODBC

JDBC
PostgreSQL wire protocol

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

JavaScript

All languages supporting JDBC/ODBC

Go
Java
JavaScript (Node.js)
Python

JavaScript
Python

Server-side scripts

Stored procedures

user defined functions

in Python

UDFs in Python or Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Journaling Streams

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

informational only, not enforced by the system

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

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

in-memory journaling

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

Role-based access control

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