DBMS > Drizzle vs. Hawkular Metrics vs. VictoriaMetrics
System Properties Comparison Drizzle vs. Hawkular Metrics vs. VictoriaMetrics
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||Hawkular Metrics Xexclude from comparison||VictoriaMetrics Xexclude from comparison|
|Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.|
|Description||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||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||Relational DBMS||Time Series DBMS||Time Series DBMS|
|Developer||Drizzle project, originally started by Brian Aker||Community supported by Red Hat||VictoriaMetrics|
|Current release||7.2.4, September 2012||v1.83, November 2022|
|License Commercial or Open Source||Open Source GNU GPL||Open Source Apache 2.0||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||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|
|SQL Support of SQL||yes with proprietary extensions||no||no|
|APIs and other access methods||JDBC||HTTP REST||Graphite protocol|
InfluxDB Line Protocol
Prometheus Query API
Prometheus Remote Read/Write
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||no||no|
|Triggers||no hooks for callbacks inside the server can be used.||yes via Hawkular Alerting||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding based on Cassandra|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|selectable replication factor based on Cassandra||Synchronous replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||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||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||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||Pluggable authentication mechanisms e.g. LDAP, HTTP||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||6k stars and 100+ contributors on GitHub 45M+ 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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