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DBMS > HBase vs. Hypertable vs. searchxml vs. Spark SQL

System Properties Comparison HBase vs. Hypertable vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHypertable  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as HadoopDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeWide column storeNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitehbase.apache.orgwww.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationhbase.apache.org/­book.htmlwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.informationpartners gmbhApache Software Foundation
Initial release2008200920152014
Current release2.3.4, January 20210.9.8.11, March 20161.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Scala
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
WindowsLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyesyes
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
Thrift
C++ API
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes infoon the application serverno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoDomain, group and role-based access control at the document level and for application servicesno

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More resources
HBaseHypertablesearchxmlSpark SQL
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