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DBMS > Cassandra vs. HBase vs. IBM Cloudant vs. Transwarp KunDB

System Properties Comparison Cassandra vs. HBase vs. IBM Cloudant vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTranswarp KunDB  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 BigTableDatabase as a Service offering based on Apache CouchDBOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelWide column storeWide column storeDocument storeRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.59
Rank#12  Overall
#1  Wide column stores
Score31.60
Rank#26  Overall
#2  Wide column stores
Score2.79
Rank#113  Overall
#21  Document stores
Score0.10
Rank#356  Overall
#152  Relational DBMS
Websitecassandra.apache.orghbase.apache.orgwww.ibm.com/­products/­cloudantwww.transwarp.cn/­en/­product/­kundb
Technical documentationcassandra.apache.org/­doc/­latesthbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudant
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Transwarp
Initial release200820082010
Current release4.1.3, July 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaJavaErlang
Server operating systemsBSD
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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)nonoyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON API
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
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardinghorizontal partitioning
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
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)no infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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 can be defined per databaseyes
More information provided by the system vendor
CassandraHBaseIBM CloudantTranswarp KunDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
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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