DBMS > atoti vs. RethinkDB vs. RisingWave vs. SwayDB

System Properties Comparison atoti vs. RethinkDB vs. RisingWave vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

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

Secondary database models

Spatial DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	2.74
Rank	#105	Overall
	#19	Document stores

Score	0.58
Rank	#242	Overall
	#111	Relational DBMS

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

Website

atoti.io

rethinkdb.com

www.risingwave.com/database

swaydb.simer.au

Technical documentation

docs.atoti.io

rethinkdb.com/docs

docs.risingwave.com/docs/current/intro

Developer

ActiveViam

The Linux Foundation

since July 2017

RisingWave Labs

Simer Plaha

Initial release

2009

2022

2018

Current release

2.4.1, August 2020

1.2, September 2023

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 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

Linux
OS X
Windows

Docker
Linux
macOS

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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.

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

APIs and other access methods

JDBC
PostgreSQL wire protocol

Supported programming languages

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Go
Java
JavaScript (Node.js)
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Python

UDFs in Python or Java

Triggers

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

range based

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

Foreign keys

Referential integrity

Transaction concepts

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

Atomic single-document operations

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

MVCC based

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

User concepts

Access control

yes

users and table-level permissions

Users and Roles

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More resources

DB-Engines blog posts

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4 August 2014, Paul Andlinger

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