DBMS > Derby vs. Percona Server for MongoDB vs. RisingWave vs. SwayDB

System Properties Comparison Derby vs. Percona Server for MongoDB vs. RisingWave vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

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

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

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

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

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

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	0.52
Rank	#254	Overall
	#39	Document stores

Score	0.58
Rank	#242	Overall
	#111	Relational DBMS

Score	0.00
Rank	#382	Overall
	#59	Key-value stores

Website

db.apache.org/derby

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

www.risingwave.com/database

swaydb.simer.au

Technical documentation

db.apache.org/derby/manuals/index.html

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

docs.risingwave.com/docs/current/intro

Developer

Apache Software Foundation

Percona

RisingWave Labs

Simer Plaha

Initial release

1997

2015

2022

2018

Current release

10.17.1.0, November 2023

3.4.10-2.10, November 2017

1.2, September 2023

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

GPL Version 2

Open Source

Apache Version 2.0

Open Source

GNU Affero GPL V3.0

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

Java

C++

Rust

Scala

Server operating systems

All OS with a Java VM

Linux

Docker
Linux
macOS

Data scheme

yes

schema-free

yes

schema-free

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC

proprietary protocol using JSON

JDBC
PostgreSQL wire protocol

Supported programming languages

Java

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

Go
Java
JavaScript (Node.js)
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Java Stored Procedures

JavaScript

UDFs in Python or Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles

Users and Roles

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