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DBMS > Amazon SimpleDB vs. EventStoreDB vs. Greenplum vs. Riak KV

System Properties Comparison Amazon SimpleDB vs. EventStoreDB vs. Greenplum vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGreenplum  Xexclude from comparisonRiak KV  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 ScioreIndustrial-strength, open-source database solution built from the ground up for event sourcing.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Distributed, fault tolerant key-value store
Primary database modelKey-value storeEvent StoreRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteaws.amazon.com/­simpledbwww.eventstore.comgreenplum.org
Technical documentationdocs.aws.amazon.com/­simpledbdevelopers.eventstore.comdocs.greenplum.orgwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazonEvent Store LimitedPivotal Software Inc.OpenSource, formerly Basho Technologies
Initial release2007201220052009
Current release21.2, February 20217.0.0, September 20233.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlang
Server operating systemshostedLinux
Windows
LinuxLinux
OS X
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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.yes infosince Version 4.2no
Secondary indexesyes infoAll columns are indexed automaticallyyesrestricted
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
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 proceduresnoyesErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes, using Riak Security

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More resources
Amazon SimpleDBEventStoreDBGreenplumRiak KV
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