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DBMS > Drizzle vs. Impala vs. OrigoDB

System Properties Comparison Drizzle vs. Impala vs. OrigoDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonImpala  Xexclude from comparisonOrigoDB  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 fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score0.01
Rank#344  Overall
#48  Document stores
#20  Object oriented DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlorigodb.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlorigodb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerClouderaRobert Friberg et al
Initial release200820132009 infounder the name LiveDB
Current release7.2.4, September 20123.4.0, April 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source
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
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes
Triggersno infohooks for callbacks inside the server can be used.noyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole based authorization

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More resources
DrizzleImpalaOrigoDB
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