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DBMS > Amazon SimpleDB vs. Apache Drill vs. GeoSpock vs. PouchDB

System Properties Comparison Amazon SimpleDB vs. Apache Drill vs. GeoSpock vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Drill  Xexclude from comparisonGeoSpock  Xexclude from comparisonPouchDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageSpatial and temporal data processing engine for extreme data scaleJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­simpledbdrill.apache.orggeospock.compouchdb.com
Technical documentationdocs.aws.amazon.com/­simpledbdrill.apache.org/­docspouchdb.com/­guides
DeveloperAmazonApache Software FoundationGeoSpockApache Software Foundation
Initial release200720122012
Current release1.20.3, January 20232.0, September 20197.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaScript
Server operating systemshostedLinux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynotemporal, categoricalyes infovia views
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantANSI SQL for query only (using Presto)no
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBCHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnoView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingAutomatic shardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceAccess rights for users can be defined per tableno

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More resources
Amazon SimpleDBApache DrillGeoSpockPouchDB
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