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DBMS > DuckDB vs. Microsoft Azure SQL Database vs. SAP IQ vs. Spark SQL vs. YottaDB

System Properties Comparison DuckDB vs. Microsoft Azure SQL Database vs. SAP IQ vs. Spark SQL vs. YottaDB

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSpark SQL  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerColumnar RDBMS optimized for Big Data analyticsSpark SQL is a component on top of 'Spark Core' for structured data processingA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMS infocolumn-orientedRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteduckdb.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlspark.apache.org/­sqlyottadb.com
Technical documentationduckdb.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlhelp.sap.com/­docs/­SAP_IQspark.apache.org/­docs/­latest/­sql-programming-guide.htmlyottadb.com/­resources/­documentation
DeveloperMicrosoftSAP, formerly SybaseApache Software FoundationYottaDB, LLC
Initial release20182010199420142001
Current release0.10, February 2024V1216.1 SPS04, April 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ScalaC
Server operating systemsserver-lesshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyesyesSQL-like DML and DDL statementsby using the Octo plugin
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoTransact SQLyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneshared disk or shared nothing architectures with SAP IQ Multiplexeryes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availableSAP/Sybase Replication Servernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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More resources
DuckDBMicrosoft Azure SQL Database infoformerly SQL AzureSAP IQ infoformer name: Sybase IQSpark SQLYottaDB
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