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DBMS > Druid vs. Ehcache

System Properties Comparison Druid vs. Ehcache

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonEhcache  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataA widely adopted Java cache with tiered storage options
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Score6.07
Rank#51  Overall
#6  Key-value stores
Websitedruid.iowww.ehcache.org
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.ehcache.org/­documentation
DeveloperMetamarkets Group and contributorsTerracotta Inc, owned by Software AG
Initial release20122009
Current release3.8.0, July 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedschema-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 indexesyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapterno
APIs and other access methodsJSON over HTTPJCache
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Server-side scripts infoStored proceduresnono
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Server
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoby using Terracotta Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resource
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approach
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoavailable via extensionsno

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More resources
DruidEhcache
Recent citations in the news

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

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10 May 2019, Datanami

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30 July 2015, ADT Magazine

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4 August 2015, Datanami

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