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DBMS > Apache Druid vs. Microsoft SQL Server vs. Rockset vs. TDSQL for MySQL

System Properties Comparison Apache Druid vs. Microsoft SQL Server vs. Rockset vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRockset  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMicrosofts flagship relational DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websitedruid.apache.orgwww.microsoft.com/­en-us/­sql-serverrockset.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.rockset.comwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation and contributorsMicrosoftRocksetTencent
Initial release2012198920192013
Current release29.0.1, April 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedhosted
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingyesRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP RESTJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedtables can be distributed across several files (horizontal partitioning); sharding through federationAutomatic shardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes, but depending on the SQL-Server EditionyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesno
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-standardAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept

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More resources
Apache DruidMicrosoft SQL ServerRocksetTDSQL for MySQL
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