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DBMS > HBase vs. Hyprcubd vs. Ingres vs. Spark SQL

System Properties Comparison HBase vs. Hyprcubd vs. Ingres vs. Spark SQL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableServerless Time Series DBMSWell established RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitehbase.apache.orghyprcubd.com (offline)www.actian.com/­databases/­ingresspark.apache.org/­sql
Technical documentationhbase.apache.org/­book.htmldocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHyprcubd, Inc.Actian CorporationApache Software Foundation
Initial release20081974 infooriginally developed at University Berkely in early 1970s2014
Current release2.3.4, January 202111.2, May 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCScala
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infotime, int, uint, float, stringyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnonoyesno
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes
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.yesnonono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACtoken accessfine grained access rights according to SQL-standardno

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More resources
HBaseHyprcubdIngresSpark SQL
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