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DBMS > Amazon SimpleDB vs. Elasticsearch vs. GeoMesa vs. Riak TS

System Properties Comparison Amazon SimpleDB vs. Elasticsearch vs. GeoMesa vs. Riak TS

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak TS  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 metricGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value storeSearch engineSpatial DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score132.83
Rank#7  Overall
#1  Search engines
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.elastic.co/­elasticsearchwww.geomesa.org
Technical documentationdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonElasticCCRi and othersOpen Source, formerly Basho Technologies
Initial release2007201020142015
Current release8.6, January 20235.0.0, May 20243.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaErlang
Server operating systemshostedAll OS with a Java VMLinux
OS X
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-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 automaticallyyes infoAll search fields are automatically indexedyesrestricted
SQL infoSupport of SQLnoSQL-like query languagenoyes, limited
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesnoErlang
Triggersnoyes infoby using the 'percolation' featurenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesdepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesyes
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, alldepending on storage layerEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
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 datayesyesyesyes
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.Memcached and Redis integrationdepending on storage layer
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infodepending on the DBMS used for storageno

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More resources
Amazon SimpleDBElasticsearchGeoMesaRiak TS
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