DBMS > ReductStore vs. SwayDB vs. Valentina Server vs. WakandaDB

System Properties Comparison ReductStore vs. SwayDB vs. Valentina Server vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

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

Object-relational database and reports server

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

Primary database model

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

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

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

Score	0.17
Rank	#327	Overall
	#145	Relational DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

github.com/reductstore
www.reduct.store

swaydb.simer.au

www.valentina-db.net

wakanda.github.io

Technical documentation

www.reduct.store/docs

valentina-db.com/docs/dokuwiki/v5/doku.php

wakanda.github.io/doc

Developer

ReductStore LLC

Simer Plaha

Paradigma Software

Wakanda SAS

Initial release

2023

2018

1999

2012

Current release

1.9, March 2024

5.7.5

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Business Source License 1.1

Open Source

GNU Affero GPL V3.0

commercial

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

C++, Rust

Scala

C++, JavaScript

Server operating systems

Docker
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

APIs and other access methods

HTTP API

ODBC

RESTful HTTP API

Supported programming languages

C++
JavaScript (Node.js)
Python
Rust

Java
Kotlin
Scala

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Transaction concepts

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

Atomic execution of operations

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

fine grained access rights according to SQL-standard

yes

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More resources

Recent citations in the news

A Look at Valentina — SitePoint
18 April 2014, SitePoint

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7 December 2018, H2S Media

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