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DBMS > Amazon DocumentDB vs. Datomic vs. SwayDB

System Properties Comparison Amazon DocumentDB vs. Datomic vs. SwayDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websiteaws.amazon.com/­documentdbwww.datomic.comswaydb.simer.au
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datomic.com
DeveloperCognitectSimer Plaha
Initial release201920122018
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen 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 languageJava, ClojureScala
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeyesschema-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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
TriggersnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersnone
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 ConsistencyImmediate ConsistencyImmediate 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 operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBDatomicSwayDB
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