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DBMS > Heroic vs. Microsoft SQL Server vs. Oracle vs. Sadas Engine vs. SAP HANA

System Properties Comparison Heroic vs. Microsoft SQL Server vs. Oracle vs. Sadas Engine vs. SAP HANA

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosofts flagship relational DBMSWidely used RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#311  Overall
#27  Time Series DBMS
Score970.85
Rank#3  Overall
#3  Relational DBMS
Score1271.55
Rank#1  Overall
#1  Relational DBMS
Score0.00
Rank#352  Overall
#146  Relational DBMS
Score56.24
Rank#19  Overall
#12  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databasewww.sadasengine.comwww.sap.com/­products/­hana.html
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databasewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbhelp.sap.com/­hana
DeveloperSpotifyMicrosoftOracleSADAS s.r.l.SAP
Initial release20141989198020062010
Current releaseSQL Server 2019, November 201919c, February 20198.02.0 SPS05 (JuneĀ 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial inforestricted free version is availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++
Server operating systemsLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Linux
Windows
Appliance or cloud-service
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesnono
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possiblenoSQLScript, R
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioninghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyes

More information provided by the system vendor

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HeroicMicrosoft SQL ServerOracleSadas EngineSAP HANA
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