DBMS > AlaSQL vs. ObjectBox vs. OpenEdge vs. RisingWave

System Properties Comparison AlaSQL vs. ObjectBox vs. OpenEdge vs. RisingWave

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors

Application development environment with integrated database management system

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

Primary database model

Document store
Relational DBMS

Object oriented DBMS
Vector DBMS

Relational DBMS

Secondary database models

Time Series 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	1.08
Rank	#179	Overall
	#6	Object oriented DBMS
	#9	Vector DBMS

Score	3.69
Rank	#78	Overall
	#42	Relational DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Website

alasql.org

github.com/objectbox
objectbox.io

www.progress.com/openedge

www.risingwave.com/database

Technical documentation

github.com/AlaSQL/alasql

docs.objectbox.io

documentation.progress.com/output/ua/OpenEdge_latest

docs.risingwave.com/docs/current/intro

Developer

Andrey Gershun & Mathias R. Wulff

ObjectBox Limited

Progress Software Corporation

RisingWave Labs

Initial release

2014

2017

1984

2022

Current release

4.0 (May 2024)

OpenEdge 12.2, March 2020

1.2, September 2023

License

Commercial or Open Source

Open Source

MIT-License

Bindings are released under Apache 2.0

Apache License 2.0

commercial

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

C and C++

Rust

Server operating systems

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

Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows

AIX
HP-UX
Linux
Solaris
Windows

Docker
Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes, plus "flex" map-like types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

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

yes

close to SQL 92

yes

APIs and other access methods

JavaScript API

Proprietary native API

JDBC
ODBC

JDBC
PostgreSQL wire protocol

Supported programming languages

JavaScript

C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift

Progress proprietary ABL (Advanced Business Language)

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

none

Data sync between devices allowing occasional connected databases to work completely offline

Source-replica replication

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

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 capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes

Users and groups

Users and Roles

More information provided by the system vendor

News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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