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DBMS > Amazon Redshift vs. Apache Cassandra vs. Google Cloud Bigtable

System Properties Comparison Amazon Redshift vs. Apache Cassandra vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Cassandra  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsWide-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.
Primary database modelRelational DBMSWide column storeKey-value 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
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score108.21
Rank#11  Overall
#1  Wide column stores
Score2.67
Rank#93  Overall
#15  Key-value stores
#6  Wide column stores
Websiteaws.amazon.com/­redshiftcassandra.apache.orgcloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­redshiftcassandra.apache.org/­doc/­latestcloud.google.com/­bigtable/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top level project, originally developped by FacebookGoogle
Initial release201220082015
Current release5.0-rc1, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedBSD
Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesrestrictedrestricted infoonly equality queries, not always the best performing solutionno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like SELECT, DML and DDL statements (CQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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)
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsAtomic single-row operations
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
Amazon RedshiftApache CassandraGoogle Cloud Bigtable
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