DBMS > Drizzle vs. Hawkular Metrics vs. Quasardb
System Properties Comparison Drizzle vs. Hawkular Metrics vs. Quasardb
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||Hawkular Metrics Xexclude from comparison||Quasardb 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.||Distributed, high-performance timeseries database|
|Primary database model||Relational DBMS||Time Series DBMS||Time Series DBMS|
|Developer||Drizzle project, originally started by Brian Aker||Community supported by Red Hat||quasardb|
|Current release||7.2.4, September 2012||3.13.3, April 2022|
|License Commercial or Open Source||Open Source GNU GPL||Open Source Apache 2.0||commercial Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses|
|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||yes integer and binary|
|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|
|Secondary indexes||yes||no||yes with tags|
|SQL Support of SQL||yes with proprietary extensions||no||SQL-like query language|
|APIs and other access methods||JDBC||HTTP REST||HTTP API|
|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||Sharding consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|selectable replication factor based on Cassandra||Source-replica replication with selectable replication factor|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||with Hadoop integration|
|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||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using LevelDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes Transient mode|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||no||Cryptographically strong user authentication and audit trail|
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