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DBMS > HBase vs. Microsoft SQL Server vs. SAP SQL Anywhere

System Properties Comparison HBase vs. Microsoft SQL Server vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMicrosofts relational DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score54.84
Rank#21  Overall
#2  Wide column stores
Score1094.72
Rank#3  Overall
#3  Relational DBMS
Score5.04
Rank#60  Overall
#32  Relational DBMS
Websitehbase.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­sql-anywhere.html
Technical documentationhbase.apache.orgdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationhelp.sap.com/­sql-anywhere
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSAP infoformerly Sybase
Initial release200819891992
Current release2.2.0, June 2019SQL Server 2017, October 201717, July 2015
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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.noyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes, in C/C++, Java, .Net or Perl
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yes, but depending on the SQL-Server EditionMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HBaseMicrosoft SQL ServerSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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Conferences and events

PASS Summit 2019
Seattle, Washington, USA, 5-8 November 2019

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