DBMS > SwayDB vs. Transwarp ArgoDB vs. VictoriaMetrics

System Properties Comparison SwayDB vs. Transwarp ArgoDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines

Name

Description

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

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

A fast, cost-effective and scalable Time Series DBMS and monitoring solution

Primary database model

Key-value store

Relational DBMS

Time Series DBMS

Secondary database models

Search engine

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

Score	0.04
Rank	#387	Overall
	#61	Key-value stores

Score	0.12
Rank	#348	Overall
	#151	Relational DBMS

Score	1.23
Rank	#172	Overall
	#15	Time Series DBMS

Website

swaydb.simer.au

www.transwarp.cn/en/product/argodb

victoriametrics.com

Technical documentation

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

docs.victoriametrics.com
github.com/VictoriaMetrics/VictoriaMetrics/wiki

Developer

Simer Plaha

Transwarp

VictoriaMetrics

Initial release

2018

Current release

v1.91, May 2023

License

Commercial or Open Source

Open Source

GNU Affero GPL V3.0

commercial

Open Source

Apache Version 2.0

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

Scala

Server operating systems

FreeBSD
Linux
macOS
OpenBSD

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

Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write

Supported programming languages

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Synchronous replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

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

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