DBMS > RavenDB vs. RisingWave vs. Sadas Engine vs. VoltDB

System Properties Comparison RavenDB vs. RisingWave vs. Sadas Engine vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

Open Source Operational and Transactional Enterprise NoSQL Document Database

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

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

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

Primary database model

Document store

Relational DBMS

Secondary database models

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	2.84
Rank	#101	Overall
	#18	Document stores

Score	0.64
Rank	#238	Overall
	#110	Relational DBMS

Score	0.07
Rank	#373	Overall
	#157	Relational DBMS

Score	1.47
Rank	#157	Overall
	#73	Relational DBMS

Website

ravendb.net

www.risingwave.com/database

www.sadasengine.com

www.voltdb.com

Technical documentation

ravendb.net/docs

docs.risingwave.com/docs/current/intro

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

docs.voltdb.com

Developer

Hibernating Rhinos

RisingWave Labs

SADAS s.r.l.

VoltDB Inc.

Initial release

2010

2022

2006

2010

Current release

5.4, July 2022

1.2, September 2023

8.0

11.3, April 2022

License

Commercial or Open Source

Open Source

AGPL version 3, commercial license available

Open Source

Apache Version 2.0

commercial

free trial version available

Open Source

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

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

C++

Java, C++

Server operating systems

Linux
macOS
Raspberry Pi
Windows

Docker
Linux
macOS

AIX
Linux
Windows

Linux
OS X

for development

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

SQL-like query language (RQL)

yes

only a subset of SQL 99

APIs and other access methods

.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API

JDBC
PostgreSQL wire protocol

JDBC
ODBC
Proprietary protocol

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Go
Java
JavaScript (Node.js)
Python

.Net
C
C#
C++
Groovy
Java
PHP
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.

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

ACID, Cluster-wide transaction available

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities

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

yes

managed by 'Learn by Usage'

User concepts

Access control

Authorization levels configured per client per database

Users and Roles

Access rights for users, groups and roles according to SQL-standard

Users and roles with access to stored procedures

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More resources

Recent citations in the news

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VoltDB Upgrades Power, Security of Its In-Memory Database
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