DBMS > Riak TS vs. RisingWave vs. Rockset vs. WakandaDB

System Properties Comparison Riak TS vs. RisingWave vs. Rockset vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

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

A scalable, reliable search and analytics service in the cloud, built on RocksDB

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

Primary database model

Secondary database models

Relational DBMS
Search engine

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

Score	0.17
Rank	#318	Overall
	#27	Time Series DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Score	1.07
Rank	#180	Overall
	#31	Document stores

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

www.risingwave.com/database

rockset.com

wakanda.github.io

Technical documentation

www.tiot.jp/riak-docs/riak/ts/latest

docs.risingwave.com/docs/current/intro

docs.rockset.com

wakanda.github.io/doc

Developer

Open Source, formerly Basho Technologies

RisingWave Labs

Rockset

Wakanda SAS

Initial release

2015

2022

2019

2012

Current release

3.0.0, September 2022

1.2, September 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Erlang

Rust

C++

C++, JavaScript

Server operating systems

Linux
OS X

Docker
Linux
macOS

hosted

Linux
OS X
Windows

Data scheme

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

Standard SQL-types and JSON

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

restricted

yes

all fields are automatically indexed

SQL

Support of SQL

yes, limited

yes

Read-only SQL queries, including JOINs

APIs and other access methods

HTTP API
Native Erlang Interface

JDBC
PostgreSQL wire protocol

HTTP REST

RESTful HTTP API

Supported programming languages

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Go
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

Erlang

UDFs in Python or Java

yes

Triggers

yes

pre-commit hooks and post-commit hooks

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Automatic sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

links between datasets can be stored

Transaction concepts

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

ACID

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

User concepts

Access control

Users and Roles

Access rights for users and organizations can be defined via Rockset console

yes

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