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DBMS > Druid vs. HBase

System Properties Comparison Druid vs. HBase

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Our visitors often compare Druid and HBase with Cassandra, Elasticsearch and ClickHouse.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMS
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Score48.66
Rank#23  Overall
#2  Wide column stores
Websitedruid.apache.orghbase.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org
DeveloperMetamarkets Group and contributorsApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20122008
Current release2.2.0, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2
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
Linux
Unix
Windows infousing Cygwin
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVRO
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 HTTPJava API
RESTful HTTP API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Java
Triggersnoyes
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
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)
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.noyes
User concepts infoAccess controlno infoavailable via extensionsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
DruidHBase
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Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

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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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4 October 2019, iProgrammer

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26 June 2020, Cole of Duty

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