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DBMS > Amazon CloudSearch vs. Microsoft Azure Cosmos DB vs. Redis vs. Tkrzw

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure Cosmos DB vs. Redis vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRedis  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGlobally distributed, horizontally scalable, multi-model database servicePopular 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.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store
Secondary database modelsSpatial DBMSDocument 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
Score1.86
Rank#133  Overall
#12  Search engines
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score149.43
Rank#6  Overall
#1  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­services/­cosmos-dbredis.com
redis.io
dbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­cloudsearchlearn.microsoft.com/­azure/­cosmos-dbdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperAmazonMicrosoftRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Mikio Hirabayashi
Initial release2012201420092020
Current release7.2.5, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
macOS
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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.nono
Secondary indexesyes infoall search fields are automatically indexedyes infoAll properties auto-indexed by defaultyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like query languagewith RediSQL moduleno
APIs and other access methodsHTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptLua; Redis Functions coming in Redis 7 (slides and Github)no
TriggersnoJavaScriptpublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoImplicit feature of the cloud serviceSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoImplicit feature of the cloud serviceMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*through RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights can be defined down to the item levelAccess 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
no

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More resources
Amazon CloudSearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRedisTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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