DBMS > Cloudflare Workers KV vs. Hawkular Metrics vs. Postgres-XL vs. Valentina Server

System Properties Comparison Cloudflare Workers KV vs. Hawkular Metrics vs. Postgres-XL vs. Valentina Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Cloudflare Workers KV  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Valentina Server  Xexclude from comparison
Description	A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	Object-relational database and reports server
Primary database model	Key-value store	Time Series DBMS	Relational DBMS	Relational DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.39 Rank #274   Overall #39   Key-value stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	www.cloudflare.com/­developer-platform/­workers-kv	www.hawkular.org	www.postgres-xl.org	www.valentina-db.net
Technical documentation	developers.cloudflare.com/­kv/­api	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.postgres-xl.org/­documentation	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	Cloudflare	Community supported by Red Hat		Paradigma Software
Initial release	2018	2014	2014 since 2012, originally named StormDB	1999
Current release			10 R1, October 2018	5.7.5
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Mozilla public license	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	C
Server operating systems	hosted	Linux OS X Windows	Linux macOS	Linux OS X Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	no	yes	yes	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.	no	no	yes XML type, but no XML query functionality
Secondary indexes	no	no	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	HTTP REST Proprietary protocol	HTTP REST	ADO.NET JDBC native C library ODBC streaming API for large objects	ODBC
Supported programming languages	C C++ Dart JavaScript Kotlin Python Rust Scala	Go Java Python Ruby	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	no	no	user defined functions	yes
Triggers	no	yes via Hawkular Alerting	yes	yes
Partitioning methods Methods for storing different data on different nodes		Sharding based on Cassandra	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no	yes
User concepts Access control		no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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
	Cloudflare Workers KV	Hawkular Metrics	Postgres-XL	Valentina Server
Recent citations in the news	Cloudflare updates Workers platform with Python support, event notifications, and improved local development ... 3 April 2024, DevClass Cloudflare recovers from service outage after power failure at core North American data center 3 November 2023, DatacenterDynamics Cloudflare dashboard, API service feeling poorly due to datacenter power snafu 2 November 2023, The Register Cloudflare is (still) struggling with another outage - here's what to know 3 November 2023, ZDNet How to Build a Scalable URL Shortener With Cloudflare Workers and KV Under 10 Minutes 21 August 2022, hackernoon.com provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News		A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

Share this page