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DBMS > Amazon Aurora vs. Databend vs. Drizzle vs. FoundationDB vs. GeoSpock

System Properties Comparison Amazon Aurora vs. Databend vs. Drizzle vs. FoundationDB vs. GeoSpock

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  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DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­datafuselabs/­databend
www.databend.com
github.com/­apple/­foundationdbgeospock.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.databend.comapple.github.io/­foundationdb
DeveloperAmazonDatabend LabsDrizzle project, originally started by Brian AkerFoundationDBGeoSpock
Initial release2015202120082013
Current release1.0.59, April 20237.2.4, September 20126.2.28, November 20202.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++C++Java, Javascript
Server operating systemshostedhosted
Linux
macOS
FreeBSD
Linux
OS X
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typingyes
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.yesnono
Secondary indexesyesnoyesnotemporal, categorical
SQL infoSupport of SQLyesyesyes infowith proprietary extensionssupported in specific SQL layer onlyANSI SQL for query only (using Presto)
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
JDBCJDBC
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)
Python
Rust
C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresyesnonoin SQL-layer onlyno
Triggersyesnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users can be defined per table

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More resources
Amazon AuroraDatabendDrizzleFoundationDBGeoSpock
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