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DBMS > Drizzle vs. Teradata Aster

System Properties Comparison Drizzle vs. Teradata Aster

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonTeradata Aster  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.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMS
DeveloperDrizzle project, originally started by Brian AkerTeradata
Initial release20082005
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsFreeBSD
Linux
OS X
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
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
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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, HTTPfine grained access rights according to SQL-standard

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More resources
DrizzleTeradata Aster
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Recent citations in the news

Teradata ports Aster analytics to Hadoop
30 August 2016, ZDNet

An overview of the Teradata Aster Analytics platform
31 May 2017, TechTarget

Teradata Aster Analytics Going Places: On Hadoop and AWS
24 August 2016, PR Newswire

Teradata Aster gets graph database, HDFS-compatible file store
8 October 2013, ZDNet

Teradata Aster Connector for Spark Drives Data Democracy
8 June 2016, insideBIGDATA

provided by Google News

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