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DBMS > Druid vs. JaguarDB

System Properties Comparison Druid vs. JaguarDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataPerformant, highly scalable DBMS for AI and IoT applications
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
Score0.00
Rank#343  Overall
#63  Key-value stores
Websitedruid.iowww.datajaguar.com
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.datajaguar.com/­support.php
DeveloperMetamarkets Group and contributorsDataJaguar, Inc.
Initial release20122015
Current release2.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL V3.0
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 languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedyes
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 SQLSQL support via Apache Calcite adapterA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJSON over HTTPJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoavailable via extensionsrights management via user accounts
More information provided by the system vendor
DruidJaguarDB
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruidJaguarDB
Recent citations in the news

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

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

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