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DBMS > Amazon Aurora vs. Amazon DocumentDB vs. KeyDB vs. TDSQL for MySQL vs. Yaacomo

System Properties Comparison Amazon Aurora vs. Amazon DocumentDB vs. KeyDB vs. TDSQL for MySQL vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonKeyDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­documentdbgithub.com/­Snapchat/­KeyDB
keydb.dev
www.tencentcloud.com/­products/­dcdbyaacomo.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlaws.amazon.com/­documentdb/­resourcesdocs.keydb.devwww.tencentcloud.com/­document/­product/­1042
DeveloperAmazonEQ Alpha Technology Ltd.TencentQ2WEB GmbH
Initial release20152019201920132009
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinuxhostedAndroid
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.yesnononono
Secondary indexesyesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
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
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoLuayes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolessimple password-based access control and ACLUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Amazon AuroraAmazon DocumentDBKeyDBTDSQL for MySQLYaacomo
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