DBMS > Oracle Rdb vs. RisingWave vs. VoltDB vs. WakandaDB

System Properties Comparison Oracle Rdb vs. RisingWave vs. VoltDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

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

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Object oriented DBMS

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

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.64
Rank	#238	Overall
	#110	Relational DBMS

Score	1.47
Rank	#157	Overall
	#73	Relational DBMS

Score	0.10
Rank	#356	Overall
	#16	Object oriented DBMS

Website

www.oracle.com/database/technologies/related/rdb.html

www.risingwave.com/database

www.voltdb.com

wakanda.github.io

Technical documentation

www.oracle.com/database/technologies/related/rdb-doc.html

docs.risingwave.com/docs/current/intro

docs.voltdb.com

wakanda.github.io/doc

Developer

Oracle, originally developed by Digital Equipment Corporation (DEC)

RisingWave Labs

VoltDB Inc.

Wakanda SAS

Initial release

1984

2022

2010

2012

Current release

7.4.1.1, 2021

1.2, September 2023

11.3, April 2022

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Open Source

AGPLv3, extended commercial license available

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

Rust

Java, C++

C++, JavaScript

Server operating systems

HP Open VMS

Docker
Linux
macOS

Linux
OS X

for development

Linux
OS X
Windows

Data scheme

Flexible Schema (defined schema, partial schema, 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

yes

SQL

Support of SQL

yes

only a subset of SQL 99

APIs and other access methods

JDBC
PostgreSQL wire protocol

Java API
JDBC
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

JavaScript

Server-side scripts

Stored procedures

UDFs in Python or Java

Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

FOREIGN KEY constraints are not supported

Transaction concepts

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

yes, on a single node

ACID

Transactions are executed single-threaded within stored procedures

ACID

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability

Support for making data persistent

yes

Snapshots and command logging

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

Users and Roles

Users and roles with access to stored procedures

yes

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