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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. AnzoGraph DB vs. Realm vs. TerarkDB

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. AnzoGraph DB vs. Realm vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonRealm  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA 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 modelDocument storeKey-value storeGraph DBMS
RDF store
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbcambridgesemantics.com/­anzographrealm.iogithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmrealm.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonCambridge SemanticsRealm, acquired by MongoDB in May 2019ByteDance, originally Terark
Initial release20192007201820142016
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinuxAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeSchema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nononono
Secondary indexesyesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnonoSPARQL and SPARQL* as primary query language. Cypher preview.nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication in MPP-Clusternonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoConcurrent data updates can be detected by the applicationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesyesno

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More resources
Amazon DocumentDBAmazon SimpleDBAnzoGraph DBRealmTerarkDB
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