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DBMS > Amazon SimpleDB vs. Badger vs. Ehcache vs. GigaSpaces vs. TerarkDB

System Properties Comparison Amazon SimpleDB vs. Badger vs. Ehcache vs. GigaSpaces vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBadger  Xexclude from comparisonEhcache  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTerarkDB  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 embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted Java cache with tiered storage optionsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeKey-value storeKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­simpledbgithub.com/­dgraph-io/­badgerwww.ehcache.orgwww.gigaspaces.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­simpledbgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationdocs.gigaspaces.com/­latest/­landing.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonDGraph LabsTerracotta Inc, owned by Software AGGigaspaces TechnologiesByteDance, originally Terark
Initial release20072017200920002016
Current release3.10.0, March 202215.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; Commercial licenses availablecommercial inforestricted open source version available
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 languageGoJavaJava, C++, .NetC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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 infoXML can be used for describing objects metadatano
Secondary indexesyes infoAll columns are indexed automaticallynonoyesno
SQL infoSupport of SQLnononoSQL-99 for query and DML statementsno
APIs and other access methodsRESTful HTTP APIJCacheGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoJava.Net
C++
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnononoyesno
Triggersnonoyes infoCache Event Listenersyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoby using Terracotta ServerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneTunable Consistency (Strong, Eventual, Weak)Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
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 applicationnoyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonoRole-based access controlno

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More resources
Amazon SimpleDBBadgerEhcacheGigaSpacesTerarkDB
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