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DBMS > Amazon Aurora vs. Cloudflare Workers KV vs. KeyDB vs. Lovefield vs. Yaacomo

System Properties Comparison Amazon Aurora vs. Cloudflare Workers KV vs. KeyDB vs. Lovefield vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonKeyDB  Xexclude from comparisonLovefield  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 AmazonA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable relational database for web apps written in pure JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Snapchat/­KeyDB
keydb.dev
google.github.io/­lovefieldyaacomo.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldevelopers.cloudflare.com/­kv/­apidocs.keydb.devgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonCloudflareEQ Alpha Technology Ltd.GoogleQ2WEB GmbH
Initial release20152018201920142009
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScript
Server operating systemshostedhostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
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 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 indexesyesnoyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLyesnonoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
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
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
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
JavaScript
Server-side scripts infoStored proceduresyesnoLuano
TriggersyesnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic 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 logsyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLnofine grained access rights according to SQL-standard

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More resources
Amazon AuroraCloudflare Workers KVKeyDBLovefieldYaacomo
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