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DBMS > Amazon Redshift vs. IBM Cloudant vs. Redis

System Properties Comparison Amazon Redshift vs. IBM Cloudant vs. Redis

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatabase as a Service offering based on Apache CouchDBPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelRelational DBMSDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score2.50
Rank#99  Overall
#18  Document stores
Score154.11
Rank#7  Overall
#1  Key-value stores
Websiteaws.amazon.com/­redshiftwww.ibm.com/­products/­cloudantredis.com
redis.io
Technical documentationdocs.aws.amazon.com/­redshiftcloud.ibm.com/­docs/­Cloudantdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperAmazon (based on PostgreSQL)IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release201220102009
Current release7.2.5, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCErlangC
Server operating systemshostedhostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesrestrictedyesyes infowith RediSearch module
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnowith RediSQL module
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIproprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin PythonView functions (Map-Reduce) in JavaScriptLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnoyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesthrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication

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More resources
Amazon RedshiftIBM CloudantRedis
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