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DBMS > Drizzle vs. Hypertable

System Properties Comparison Drizzle vs. Hypertable

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Our visitors often compare Drizzle and Hypertable with MySQL, Microsoft SQL Server and PostgreSQL.

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHypertable  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSWide column store
DeveloperDrizzle project, originally started by Brian AkerHypertable Inc.
Initial release20082009
Current release7.2.4, September 20120.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infowith proprietary extensionsno
APIs and other access methodsJDBCC++ API
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
DrizzleHypertable
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