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DBMS > Amazon SimpleDB vs. Apache IoTDB vs. BigchainDB vs. GeoMesa vs. Percona Server for MongoDB

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. BigchainDB vs. GeoMesa vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonPercona Server for MongoDB  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 ScioreAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value storeTime Series DBMSDocument storeSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websiteaws.amazon.com/­simpledbiotdb.apache.orgwww.bigchaindb.comwww.geomesa.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlbigchaindb.readthedocs.io/­en/­latestwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperAmazonApache Software FoundationCCRi and othersPercona
Initial release20072018201620142015
Current release1.1.0, April 20234.0.5, February 20243.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache License 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonScalaC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenonono
APIs and other access methodsRESTful HTTP APIJDBC
Native API
CLI Client
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyesnoJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factordepending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
depending on storage layerEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
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 datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesyesyes infodepending on the DBMS used for storageAccess rights for users and roles

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More resources
Amazon SimpleDBApache IoTDBBigchainDBGeoMesaPercona Server for MongoDB
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