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DBMS > Amazon Redshift vs. Couchbase vs. Kinetica vs. MariaDB

System Properties Comparison Amazon Redshift vs. Couchbase vs. Kinetica vs. MariaDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonKinetica  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseFully vectorized database across both GPUs and CPUsMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score17.30
Rank#36  Overall
#5  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.couchbase.comwww.kinetica.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdocs.aws.amazon.com/­redshiftdocs.couchbase.comdocs.kinetica.commariadb.com/­kb/­en/­library
DeveloperAmazon (based on PostgreSQL)Couchbase, Inc.KineticaMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release2012201120122009 infoFork of MySQL, which was first released in 1995
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20237.1, August 202111.3.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++, Go and ErlangC, C++C and C++
Server operating systemshostedLinux
OS X
Windows
LinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesschema-freeyesyes infoDynamic columns are supported
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.nonoyes
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PythonFunctions and timers in JavaScript and UDFs in Java, Python, SQL++user defined functionsyes infoPL/SQL compatibility added with version 10.3
Triggersnoyes infovia the TAP protocolyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic ShardingShardingseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoEphemeral bucketsyes infoGPU vRAM or System RAMyes infowith MEMORY storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftCouchbase infoOriginally called MembaseKineticaMariaDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MariaDB provides a native environment for MariaDB database management and development.
» more

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More resources
Amazon RedshiftCouchbase infoOriginally called MembaseKineticaMariaDB
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