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DBMS > DuckDB vs. Kinetica vs. Microsoft SQL Server vs. SAP HANA vs. Sphinx

System Properties Comparison DuckDB vs. Kinetica vs. Microsoft SQL Server vs. SAP HANA vs. Sphinx

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSFully vectorized database across both GPUs and CPUsMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteduckdb.orgwww.kinetica.comwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationduckdb.org/­docsdocs.kinetica.comlearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperKineticaMicrosoftSAPSphinx Technologies Inc.
Initial release20182012198920102001
Current release0.10, February 20247.1, August 2021SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial inforestricted free version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
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++C, C++C++C++
Server operating systemsserver-lessLinuxLinux
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyesSQL-like query language (SphinxQL)
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
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
C++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, Rno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes, but depending on the SQL-Server Editionyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyesno

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More resources
DuckDBKineticaMicrosoft SQL ServerSAP HANASphinx
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