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DBMS > Cachelot.io vs. Druid

System Properties Comparison Cachelot.io vs. Druid

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Our visitors often compare Cachelot.io and Druid with Microsoft Azure Data Explorer, PostgreSQL and Redis.

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDruid  Xexclude from comparison
DescriptionIn-memory caching systemOpen-source analytics data store designed for OLAP queries on timeseries data
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#337  Overall
#60  Key-value stores
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Websitecachelot.iodruid.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­design
DeveloperMetamarkets Group and contributors
Initial release20152012
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Unix
Data schemeschema-freeyes infoschema-less columns are supported
Typing infopredefined data types such as float or datenoyes
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 indexesnoyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapter
APIs and other access methodsMemcached protocolJSON over HTTP
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnono infoavailable via extensions

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More resources
Cachelot.ioDruid
Recent citations in the news

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17 January 2020, insideBIGDATA

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17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

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

provided by Google News

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