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DBMS > Apache Druid vs. Microsoft SQL Server vs. Oracle Rdb vs. Snowflake

System Properties Comparison Apache Druid vs. Microsoft SQL Server vs. Oracle Rdb vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitedruid.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.snowflake.com
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-US/­sql/­sql-serverwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Snowflake Computing Inc.
Initial release2012198919842014
Current release29.0.1, April 2024SQL Server 2022, November 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
Linux
Windows
HP Open VMShosted
Data schemeyes infoschema-less columns are supportedyesFlexible Schema (defined schema, partial schema, schema free)yes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedtables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication

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