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DBMS > Heroic vs. Microsoft SQL Server vs. Oracle vs. SAP HANA vs. Spark SQL

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

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosofts flagship relational DBMSWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud serviceSpark SQL is a component on top of 'Spark Core' for structured data processing
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
Vector DBMS infosince Oracle 23
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databasewww.sap.com/­products/­hana.htmlspark.apache.org/­sql
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databasehelp.sap.com/­hanaspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSpotifyMicrosoftOracleSAPApache Software Foundation
Initial release20141989198020102014
Current releaseSQL Server 2022, November 202223c, September 20232.0 SPS07 (AprilĀ 4, 2023), April 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial inforestricted free version is availablecommercialOpen Source infoApache 2.0
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.
Implementation languageJavaC++C and C++Scala
Server operating systemsLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-serviceLinux
OS X
Windows
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 Elasticsearchyesyesyesno
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyesSQL-like DML and DDL statements
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
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possibleSQLScript, Rno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioningyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoisolation level can be parameterizedACIDno
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'yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno

More information provided by the system vendor

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More resources
HeroicMicrosoft SQL ServerOracleSAP HANASpark SQL
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