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DBMS > Amazon SimpleDB vs. Ehcache vs. Google Cloud Bigtable vs. SWC-DB

System Properties Comparison Amazon SimpleDB vs. Ehcache vs. Google Cloud Bigtable vs. SWC-DB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance, scalable Wide Column DBMS
Primary database modelKey-value storeKey-value storeKey-value store
Wide column store
Wide column 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteaws.amazon.com/­simpledbwww.ehcache.orgcloud.google.com/­bigtablegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.aws.amazon.com/­simpledbwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docs
DeveloperAmazonTerracotta Inc, owned by Software AGGoogleAlex Kashirin
Initial release2007200920152020
Current release3.10.0, March 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeschema-freeschema-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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynono
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsRESTful HTTP APIJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
JavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresnononono
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyes infosupports JTA and can work as an XA resourceAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon SimpleDBEhcacheGoogle Cloud BigtableSWC-DB infoSuper Wide Column Database
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