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DBMS > Microsoft SQL Server vs. MonetDB vs. QuestDB vs. Snowflake

System Properties Comparison Microsoft SQL Server vs. MonetDB vs. QuestDB vs. Snowflake

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSA relational database management system that stores data in columnsA high performance open source SQL database for time series dataCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.monetdb.orgquestdb.iowww.snowflake.com
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serverwww.monetdb.org/­Documentationquestdb.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperMicrosoftMonetDB BVQuestDB Technology IncSnowflake Computing Inc.
Initial release1989200420142014
Current releaseSQL Server 2022, November 2022Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++CJava (Zero-GC), C++, Rust
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
hosted
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes 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.yesnoyes
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsSQL with time-series extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in SQL, C, Rnouser defined functions
Triggersyesyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding via remote tableshorizontal partitioning (by timestamps)yes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
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.yesyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Microsoft SQL ServerMonetDBQuestDBSnowflake
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft SQL ServerMonetDBQuestDBSnowflake
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