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DBMS > Amazon SimpleDB vs. Elasticsearch vs. PlanetScale vs. STSdb vs. WakandaDB

System Properties Comparison Amazon SimpleDB vs. Elasticsearch vs. PlanetScale vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonPlanetScale  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricScalable, distributed, serverless MySQL database platform built on top of VitessKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeSearch engineRelational DBMSKey-value storeObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­simpledbwww.elastic.co/­elasticsearchplanetscale.comgithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlplanetscale.com/­docswakanda.github.io/­doc
DeveloperAmazonElasticPlanetScaleSTS Soft SCWakanda SAS
Initial release20072010202020112012
Current release8.6, January 20234.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC#C++, JavaScript
Server operating systemshostedAll OS with a Java VMDocker
Linux
macOS
WindowsLinux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client APIRESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxnoyes
Triggersnoyes infoby using the 'percolation' featureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
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.Memcached and Redis integrationyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesnoyes

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More resources
Amazon SimpleDBElasticsearchPlanetScaleSTSdbWakandaDB
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