DBMS > Alibaba Cloud MaxCompute vs. Drizzle vs. Hawkular Metrics
System Properties Comparison Alibaba Cloud MaxCompute vs. Drizzle vs. Hawkular Metrics
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud MaxCompute Xexclude from comparison||Drizzle Xexclude from comparison||Hawkular Metrics 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||MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing||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.|
|Primary database model||Relational DBMS a graph-processing framework is available with the graphs being stored in tables||Relational DBMS||Time Series DBMS|
|Developer||Alibaba||Drizzle project, originally started by Brian Aker||Community supported by Red Hat|
|Current release||7.2.4, September 2012|
|License Commercial or Open Source||commercial||Open Source GNU GPL||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|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||no|
|SQL Support of SQL||SQL-like query language||yes with proprietary extensions||no|
|APIs and other access methods||Fluentd|
|Supported programming languages||Java||C|
|Server-side scripts Stored procedures||user defined functions in Java||no||no|
|Triggers||no||no hooks for callbacks inside the server can be used.||yes via Hawkular Alerting|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||Sharding based on Cassandra|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Multi-source replication|
|selectable replication factor based on Cassandra|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||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||Access rights for users and roles||Pluggable authentication mechanisms e.g. LDAP, HTTP||no|
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|Alibaba Cloud MaxCompute||Drizzle||Hawkular Metrics|
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