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DBMS > Drizzle vs. Hive vs. Teradata Aster vs. UniData,UniVerse

System Properties Comparison Drizzle vs. Hive vs. Teradata Aster vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonTeradata Aster  Xexclude from comparisonUniData,UniVerse  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.Teradata Aster has been integrated into other Teradata systems and therefore will be removed 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 HadoopPlatform for big data analytics on multistructured data sources and typesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitehive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookTeradataRocket Software
Initial release2008201220051985
Current release7.2.4, September 20123.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.yes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
C
C#
C++
Java
Python
R
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceR packagesyes
Triggersno infohooks for callbacks inside the server can be used.nonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoconfigurable
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.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
DrizzleHiveTeradata AsterUniData,UniVerse
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