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DBMS > Amazon Redshift vs. Apache Phoenix vs. Cassandra vs. Hive

System Properties Comparison Amazon Redshift vs. Apache Phoenix vs. Cassandra vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCassandra  Xexclude from comparisonHive  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA scale-out RDBMS with evolutionary schema built on Apache HBaseWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score103.86
Rank#12  Overall
#1  Wide column stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­redshiftphoenix.apache.orgcassandra.apache.orghive.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftphoenix.apache.orgcassandra.apache.org/­doc/­latestcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation infoinitially developed by Facebook
Initial release2012201420082012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20194.1.3, July 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageCJavaJavaJava
Server operating systemshostedLinux
Unix
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesrestrictedyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBCProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsnoyes infouser defined functions and integration of map-reduce
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsno
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per objectAccess rights for users, groups and roles
More information provided by the system vendor
Amazon RedshiftApache PhoenixCassandraHive
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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