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DBMS > Drizzle vs. Impala

System Properties Comparison Drizzle vs. Impala

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonImpala  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.Analytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperDrizzle project, originally started by Brian AkerCloudera
Initial release20082013
Current release7.2.4, September 20123.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2
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
Data schemeyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
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 nodesMaster-master replication
Master-slave replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
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 roles infobased on Apache Sentry and Kerberos

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More resources
DrizzleImpala
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Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

provided by Google News

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