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DBMS > Cassandra vs. HBase vs. Hive vs. openGauss

System Properties Comparison Cassandra vs. HBase vs. Hive vs. openGauss

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelWide column storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.89
Rank#12  Overall
#1  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitecassandra.apache.orghbase.apache.orghive.apache.orggitee.com/­opengauss
opengauss.org
Technical documentationcassandra.apache.org/­doc/­latesthbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookHuawei and openGauss community
Initial release2008200820122019
Current release4.1.3, July 20232.3.4, January 20213.1.3, April 20223.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2Open Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaJavaC, C++, Java
Server operating systemsBSD
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions 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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like DML and DDL statementsANSI SQL 2011
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
C
C++
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsSingle row ACID (across millions of columns)noACID
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CassandraHBaseHiveopenGauss
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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