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DBMS > Amazon DocumentDB vs. Derby vs. GeoSpock vs. PlanetScale

System Properties Comparison Amazon DocumentDB vs. Derby vs. GeoSpock vs. PlanetScale

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonPlanetScale  Xexclude from comparison
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 serviceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spatial and temporal data processing engine for extreme data scaleScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument storeRelational DBMSRelational 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#131  Overall
#24  Document stores
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­documentdbdb.apache.org/­derbygeospock.complanetscale.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdb.apache.org/­derby/­manuals/­index.htmlplanetscale.com/­docs
DeveloperApache Software FoundationGeoSpockPlanetScale
Initial release201919972020
Current release10.17.1.0, November 20232.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptGo
Server operating systemshostedAll OS with a Java VMhostedDocker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)yes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBCADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per tableUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DocumentDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGeoSpockPlanetScale
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