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DBMS > Druid vs. Machbase

System Properties Comparison Druid vs. Machbase

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataTimeSeries DBMS for IoT and BigData
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#119  Overall
#57  Relational DBMS
#8  Time Series DBMS
Score0.07
Rank#301  Overall
#25  Time Series DBMS
Websitedruid.apache.orgwww.machbase.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.machbase.com/­document
DeveloperMetamarkets Group and contributorsMachbase
Initial release20122013
Current releaseV4.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree test version available
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
Server operating systemsLinux
OS X
Unix
Linux
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query language
APIs and other access methodsJSON over HTTPHTTP REST
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
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 enginesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 persistentyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup table
User concepts infoAccess controlno infoavailable via extensionssimple password-based access control
More information provided by the system vendor
DruidMachbase infoFormer name was Infiniflux
Specific characteristicsMachbase is an extremely fast time series database which processes large volumes...
» more
Competitive advantagesFastest Database for IIoT, Independently verified, on Industry Standard Benchmarks....
» more
Typical application scenariosDistributed Query In Machbase Enterprise Edition, a broker node, which is responsible...
» more
Key customersSamsung, POSCO, Hyundai heavy industries, SFA
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
» more
Licensing and pricing modelsMachbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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More resources
DruidMachbase infoFormer name was Infiniflux
Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
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

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8 April 2019, Business Wire

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2 July 2019, PRNewswire

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11 July 2019, EnterpriseTalk

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10 April 2019, AiThority

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