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DBMS > Druid vs. eXtremeDB

System Properties Comparison Druid vs. eXtremeDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisoneXtremeDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataNatively in-memory DBMS with options for persistency, high-availability and clustering
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#113  Overall
#56  Relational DBMS
#7  Time Series DBMS
Score0.38
Rank#221  Overall
#105  Relational DBMS
#12  Time Series DBMS
Websitedruid.iowww.mcobject.com/­extremedbfamily
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.mcobject.com/­docs/­eXtremeDB.htm
DeveloperMetamarkets Group and contributorsMcObject
Initial release20122001
Current release8.0, May 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercial
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 and C++
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
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 infosupport of XML interfaces available
Secondary indexesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapteryes infowith the option: eXtremeSQL
APIs and other access methodsJSON over HTTP.NET Client API
JDBC
JNI
ODBC
proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infoby defining events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies available
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.noyes
User concepts infoAccess controlno infoavailable via extensions
More information provided by the system vendor
DruideXtremeDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» 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
DruideXtremeDB
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

McObject's eXtremeDB for HPC is Now Available on AWS
15 October 2019, HPCwire

eXtremeDB shortlisted for two Data Management Insight Awards
26 September 2019, Yahoo Finance

eXtremeDB shortlisted in 4 different best DBMS categories in 1 week
8 October 2019, IoT For All

People Moves: AlgoDynamix, Tourmaline , Asset Control, SIX
27 September 2019, www.waterstechnology.com

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13 May 2019, GlobeNewswire

provided by Google News

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