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DBMS > Cassandra vs. HBase vs. Hive vs. Hypertable

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

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonHypertable  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 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 open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelWide column storeWide column storeRelational DBMSWide column store
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score103.86
Rank#12  Overall
#1  Wide column stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Websitecassandra.apache.orghbase.apache.orghive.apache.org
Technical documentationcassandra.apache.org/­doc/­latesthbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
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 FacebookHypertable Inc.
Initial release2008200820122009
Current release4.1.3, July 20232.3.4, January 20213.1.3, April 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2Open Source infoApache Version 2Open Source infoGNU version 3. Commercial license available
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++
Server operating systemsBSD
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
C++ API
Thrift
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++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding
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 factorselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceyes
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 integritynononono
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)nono
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.noyes
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 rolesno
More information provided by the system vendor
CassandraHBaseHiveHypertable
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.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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