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DBMS > Drizzle vs. Ehcache vs. Impala

System Properties Comparison Drizzle vs. Ehcache vs. Impala

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEhcache  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.A widely adopted Java cache with tiered storage optionsAnalytic DBMS for Hadoop
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.09
Rank#65  Overall
#8  Key-value stores
Score18.46
Rank#39  Overall
#24  Relational DBMS
Websitewww.ehcache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationwww.ehcache.org/­documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGCloudera
Initial release200820092013
Current release7.2.4, September 20123.9.6, September 20214.0.0, July 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
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 VMLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsJDBCJCacheJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
JavaAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduce
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serverselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
DrizzleEhcacheImpala
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29 June 2017, insideBIGDATA

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