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DBMS > Amazon DocumentDB vs. Apache Drill vs. FoundationDB vs. GeoSpock vs. Postgres-XL

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. FoundationDB vs. GeoSpock vs. Postgres-XL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaleBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­documentdbdrill.apache.orggithub.com/­apple/­foundationdbgeospock.comwww.postgres-xl.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperApache Software FoundationFoundationDBGeoSpock
Initial release2019201220132014 infosince 2012, originally named StormDB
Current release1.20.3, January 20236.2.28, November 20202.0, September 201910 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptC
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
hostedLinux
macOS
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesnonotemporal, categoricalyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantsupported in specific SQL layer onlyANSI SQL for query only (using Presto)yes infodistributed, parallel query execution
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsin SQL-layer onlynouser defined functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourcenoAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache DrillFoundationDBGeoSpockPostgres-XL
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