DBMS > Hawkular Metrics vs. Kuzu vs. SwayDB vs. Transwarp StellarDB

System Properties Comparison Hawkular Metrics vs. Kuzu vs. SwayDB vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.

An embeddable property Graph DBMS built for query speed and scalability

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

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

Score	0.08
Rank	#366	Overall
	#39	Time Series DBMS

Score	0.00
Rank	#402	Overall
	#41	Graph DBMS

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

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

www.hawkular.org

kuzudb.com

swaydb.simer.au

www.transwarp.cn/en/product/stellardb

Technical documentation

www.hawkular.org/hawkular-metrics/docs/user-guide

docs.kuzudb.com

Developer

Community supported by Red Hat

Simer Plaha

Transwarp

Initial release

2014

2022

2018

Current release

0.4.2, May 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

MIT license

Open Source

GNU Affero GPL V3.0

commercial

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++

Scala

Server operating systems

Linux
OS X
Windows

server-less

Data scheme

schema-free

yes

schema-free

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP REST

CLI Client
Cypher Query Language

OpenCypher

Supported programming languages

Go
Java
Python
Ruby

C
C#
C++
Java
JavaScript
Python
Rust

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Triggers

yes

via Hawkular Alerting

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Share this page