DBMS > AlaSQL vs. HyperSQL vs. Immudb vs. Percona Server for MongoDB

System Properties Comparison AlaSQL vs. HyperSQL vs. Immudb vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

Primary database model

Document store
Relational DBMS

Relational DBMS

Key-value store

Document store

Secondary database models

Relational 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	3.14
Rank	#85	Overall
	#46	Relational DBMS

Score	0.24
Rank	#295	Overall
	#42	Key-value stores

Score	0.50
Rank	#250	Overall
	#39	Document stores

Website

alasql.org

hsqldb.org

github.com/codenotary/immudb
immudb.io

www.percona.com/mongodb/software/percona-server-for-mongodb

Technical documentation

github.com/AlaSQL/alasql

hsqldb.org/web/hsqlDocsFrame.html

docs.immudb.io

docs.percona.com/percona-distribution-for-mongodb

Developer

Andrey Gershun & Mathias R. Wulff

Codenotary

Percona

Initial release

2014

2001

2020

2015

Current release

2.7.2, June 2023

1.2.3, April 2022

3.4.10-2.10, November 2017

License

Commercial or Open Source

Open Source

MIT-License

Open Source

based on BSD license

Open Source

Apache Version 2.0

Open Source

GPL Version 2

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

C++

Server operating systems

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

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

BSD
Linux
macOS
Solaris
Windows
z/OS

Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

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

yes

SQL

Support of SQL

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

yes

SQL-like syntax

APIs and other access methods

JavaScript API

HTTP API

JDBC via HTTP
JDBC
ODBC

gRPC protocol
PostgreSQL wire protocol

proprietary protocol using JSON

Supported programming languages

JavaScript

All languages supporting JDBC/ODBC
Java

.Net
Go
Java
JavaScript (Node.js)
Python

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

Server-side scripts

Stored procedures

Java, SQL

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency
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

via In-Memory Engine

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

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