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DBMS > Drizzle vs. Hive vs. HyperSQL vs. Kinetica

System Properties Comparison Drizzle vs. Hive vs. HyperSQL vs. Kinetica

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitehive.apache.orghsqldb.orgwww.kinetica.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookKinetica
Initial release2008201220012012
Current release7.2.4, September 20123.1.3, April 20222.7.2, June 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC, C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJava, SQLuser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
DrizzleHiveHyperSQL infoalso known as HSQLDBKinetica
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