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DBMS > DataFS vs. H2 vs. Microsoft Azure Synapse Analytics vs. SAP HANA vs. SQLite

System Properties Comparison DataFS vs. H2 vs. Microsoft Azure Synapse Analytics vs. SAP HANA vs. SQLite

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP HANA  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIn-memory, column based data store. Available as appliance or cloud serviceWidely used embeddable, in-process RDBMS
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSSpatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitenewdatabase.comwww.h2database.comazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­hana.htmlwww.sqlite.org
Technical documentationdev.mobiland.com/­Overview.xspwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­hanawww.sqlite.org/­docs.html
DeveloperMobiland AGThomas MuellerMicrosoftSAPDwayne Richard Hipp
Initial release20182005201620102000
Current release1.1.263, October 20222.2.220, July 20232.0 SPS07 (April 4, 2023), April 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonoyesno 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.
Implementation languageJavaC++C
Server operating systemsWindowsAll OS with a Java VMhostedAppliance or cloud-serviceserver-less
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes infoSQL-92 is not fully supported
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C#
C++
VB.Net
JavaC#
Java
PHP
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsTransact SQLSQLScript, Rno
Triggersno, except callback-events from server when changes happenedyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneSharding, horizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes infovia file-system locks
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.noyesyesyes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardyesyesno

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