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DBMS > HBase vs. Interbase vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

System Properties Comparison HBase vs. Interbase vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableLight-weight proven RDBMS infooriginally from BorlandA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts relational DBMS
Primary database modelWide column storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.84
Rank#21  Overall
#2  Wide column stores
Score6.53
Rank#52  Overall
#30  Relational DBMS
Score5.00
Rank#65  Overall
#5  Wide column stores
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Websitehbase.apache.orgwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-server
Technical documentationhbase.apache.orgdocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetEmbarcaderoMicrosoftMicrosoft
Initial release2008198420121989
Current release2.2.0, June 2019InterBase 2017, March 2017SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Android
iOS
Linux
OS X
Windows
hostedLinux
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nono infoexport as XML data possiblenoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoInterbase procedure and trigger languagenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Interbase Change Viewsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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HBaseInterbaseMicrosoft Azure Table StorageMicrosoft SQL Server
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