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DBMS > Drizzle vs. Impala vs. SWC-DB

System Properties Comparison Drizzle vs. Impala vs. SWC-DB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonImpala  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 HadoopA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score0.00
Rank#354  Overall
#13  Wide column stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperDrizzle project, originally started by Brian AkerClouderaAlex Kashirin
Initial release200820132020
Current release7.2.4, September 20123.4.0, April 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
Data schemeyesyesschema-free
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBCC++
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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
DrizzleImpalaSWC-DB infoSuper Wide Column Database
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