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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Heroic vs. InterSystems Caché vs. Microsoft Azure SQL Database

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Heroic vs. InterSystems Caché vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA multi-model DBMS and application serverDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdruid.apache.org/­docs/­latest/­designspotify.github.io/­heroicdocs.intersystems.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsSpotifyInterSystemsMicrosoft
Initial release20122016201419972010
Current release29.0.1, April 202417032018.1.4, May 2020V12
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Unix
LinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnoyesyes
Secondary indexesyesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLSQL for queryingnonoyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC#
C++
Java
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesTransact SQL
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyesSource-replica replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Apache DruidAtos Standard Common RepositoryHeroicInterSystems CachéMicrosoft Azure SQL Database infoformerly SQL Azure
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