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DBMS > Amazon Aurora vs. atoti vs. Cloudflare Workers KV vs. LeanXcale

System Properties Comparison Amazon Aurora vs. atoti vs. Cloudflare Workers KV vs. LeanXcale

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonatoti  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSObject oriented DBMSKey-value storeKey-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraatoti.iowww.cloudflare.com/­developer-platform/­workers-kvwww.leanxcale.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.atoti.iodevelopers.cloudflare.com/­kv/­api
DeveloperAmazonActiveViamCloudflareLeanXcale
Initial release201520182015
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesno
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)noyes infothrough Apache Derby
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Proprietary protocol
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
Java
Scala
Server-side scripts infoStored proceduresyesPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
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-standard

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More resources
Amazon AuroraatotiCloudflare Workers KVLeanXcale
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