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DBMS > Apache Druid vs. Cachelot.io vs. HBase vs. Microsoft Azure SQL Database

System Properties Comparison Apache Druid vs. Cachelot.io vs. HBase vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCachelot.io  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory caching systemWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitedruid.apache.orgcachelot.iohbase.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release2012201520082010
Current release29.0.1, April 20242.3.4, January 2021V12
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoSimplified BSD LicenseOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeyes infoschema-less columns are supportedschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Memcached protocolJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in JavaTransact SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Apache DruidCachelot.ioHBaseMicrosoft Azure SQL Database infoformerly SQL Azure
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