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DBMS > Apache Druid vs. InterSystems Caché vs. Microsoft Azure SQL Database vs. Oracle Rdb vs. Splice Machine

System Properties Comparison Apache Druid vs. InterSystems Caché vs. Microsoft Azure SQL Database vs. Oracle Rdb vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSplice Machine  Xexclude from comparison
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 dataA multi-model DBMS and application serverDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedruid.apache.orgwww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­rdb.htmlsplicemachine.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.intersystems.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsInterSystemsMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Splice Machine
Initial release20121997201019842014
Current release29.0.1, April 20242018.1.4, May 2020V127.4.1.1, 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedHP Open VMSLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supporteddepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesTransact SQLyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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 systemAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidInterSystems CachéMicrosoft Azure SQL Database infoformerly SQL AzureOracle RdbSplice Machine
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