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DBMS > Cassandra vs. Google Cloud Bigtable vs. HBase

System Properties Comparison Cassandra vs. Google Cloud Bigtable vs. HBase

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelWide column storeKey-value store
Wide column store
Wide 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
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitecassandra.apache.orgcloud.google.com/­bigtablehbase.apache.org
Technical documentationcassandra.apache.org/­doc/­latestcloud.google.com/­bigtable/­docshbase.apache.org/­book.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGoogleApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release200820152008
Current release4.1.3, July 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
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 languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVRO
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 solutionnono
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)nono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Java
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsAtomic single-row operationsSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
CassandraGoogle Cloud BigtableHBase
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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