DBMS > Hawkular Metrics vs. Postgres-XL vs. Valentina Server vs. VictoriaMetrics

System Properties Comparison Hawkular Metrics vs. Postgres-XL vs. Valentina Server vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Valentina Server  Xexclude from comparison	VictoriaMetrics  Xexclude from comparison
Description	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	A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database model	Time Series DBMS	Relational DBMS	Relational DBMS	Time Series DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	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	Score 1.23 Rank #172   Overall #15   Time Series DBMS
Website	www.hawkular.org	www.postgres-xl.org	www.valentina-db.net	victoriametrics.com
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.postgres-xl.org/­documentation	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php	docs.victoriametrics.com github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer	Community supported by Red Hat		Paradigma Software	VictoriaMetrics
Initial release	2014	2014 since 2012, originally named StormDB	1999	2018
Current release		10 R1, October 2018	5.7.5	v1.91, May 2023
License Commercial or Open Source	Open Source Apache 2.0	Open Source Mozilla public license	commercial	Open Source Apache Version 2.0
Cloud-based only Only available as a cloud service	no	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		Go
Server operating systems	Linux OS X Windows	Linux macOS	Linux OS X Windows	FreeBSD Linux macOS OpenBSD
Data scheme	schema-free	yes	yes
Typing predefined data types such as float or date	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	yes XML type, but no XML query functionality		no
Secondary indexes	no	yes	yes
SQL Support of SQL	no	yes distributed, parallel query execution	yes	no
APIs and other access methods	HTTP REST	ADO.NET JDBC native C library ODBC streaming API for large objects	ODBC	Graphite protocol InfluxDB Line Protocol OpenTSDB Prometheus Query API Prometheus Remote Read/Write
Supported programming languages	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	user defined functions	yes	no
Triggers	yes via Hawkular Alerting	yes	yes	no
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	selectable replication factor based on Cassandra			Synchronous replication
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 based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency		Eventual Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID MVCC		no
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	yes	no
User concepts Access control	no	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard
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More resources
	Hawkular Metrics	Postgres-XL	Valentina Server	VictoriaMetrics
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		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	OpenTelemetry Is Too Complicated, VictoriaMetrics Says 1 April 2024, Datanami KubeCon24: VictoriaMetrics' Simpler Alternative to Prometheus 20 March 2024, The New Stack VictoriaMetrics Slashes Data Storage Bills by 90% With World's Most Cost-Efficient Monitoring 30 May 2024, Yahoo Finance How VictoriaMetrics' open source approach led to mass industry adoption 3 May 2024, Tech.eu VictoriaMetrics takes organic growth over investor pressure 11 December 2023, The Register provided by Google News

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