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DBMS > Amazon DocumentDB vs. Ehcache vs. SwayDB

System Properties Comparison Amazon DocumentDB vs. Ehcache vs. SwayDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEhcache  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted Java cache with tiered storage optionsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteaws.amazon.com/­documentdbwww.ehcache.orgswaydb.simer.au
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ehcache.org/­documentation
DeveloperTerracotta Inc, owned by Software AGSimer Plaha
Initial release201920092018
Current release3.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnono
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCache
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaJava
Kotlin
Scala
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infosupports JTA and can work as an XA resourceAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBEhcacheSwayDB
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