DBMS > Hawkular Metrics vs. VictoriaMetrics
System Properties Comparison Hawkular Metrics vs. VictoriaMetrics
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|Editorial information provided by DB-Engines|
|Name||Hawkular Metrics 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.||A fast, cost-effective and scalable Time Series DBMS and monitoring solution|
|Primary database model||Time Series DBMS||Time Series DBMS|
|Developer||Community supported by Red Hat||VictoriaMetrics|
|Current release||v1.89, March 2023|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|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.||no||no|
|SQL Support of SQL||no||no|
|APIs and other access methods||HTTP REST||Graphite protocol|
InfluxDB Line Protocol
Prometheus Query API
Prometheus Remote Read/Write
|Supported programming languages||Go|
|Server-side scripts Stored procedures||no||no|
|Triggers||yes via Hawkular Alerting||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding based on Cassandra|
|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|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||no|
|More information provided by the system vendor|
|Specific characteristics||High performance, horizontally scalable time series database and monitoring solution...|
|Competitive advantages||Specifically designed for highly loaded workloads Addresses most of the scalability...|
|Typical application scenarios||When the current monitoring solution can't keep up with increasing workload Kubernetes...|
|Key customers||Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...|
|Market metrics||8k stars and 100+ contributors on GitHub 100M+ downloads Thousands of active users...|
|Licensing and pricing models||VictoriaMetrics comes in three versions: an open source version, an Enterprise version...|
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