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DBMS > Amazon Aurora vs. Drizzle vs. FoundationDB vs. Prometheus

System Properties Comparison Amazon Aurora vs. Drizzle vs. FoundationDB vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series 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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­apple/­foundationdbprometheus.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlapple.github.io/­foundationdbprometheus.io/­docs
DeveloperAmazonDrizzle project, originally started by Brian AkerFoundationDB
Initial release2015200820132015
Current release7.2.4, September 20126.2.28, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Go
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
Windows
Data schemeyesyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes infowith proprietary extensionssupported in specific SQL layer onlyno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCRESTful HTTP/JSON API
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++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnoin SQL-layer onlyno
Triggersyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencynone
Foreign keys infoReferential integrityyesyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
Amazon AuroraDrizzleFoundationDBPrometheus
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