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DBMS > HBase vs. HyperSQL vs. SAP SQL Anywhere

System Properties Comparison HBase vs. HyperSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score3.90
Rank#85  Overall
#46  Relational DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitehbase.apache.orghsqldb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationhbase.apache.org/­book.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSAP infoformerly Sybase
Initial release200820011992
Current release2.3.4, January 20212.7.2, June 202317, July 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infobased on BSD licensecommercial
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 languageJavaJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaJava, SQLyes, in C/C++, Java, .Net or Perl
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica 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

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More resources
HBaseHyperSQL infoalso known as HSQLDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

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13 May 2013, Paul Andlinger

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