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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. Apache IoTDB vs. SAP SQL Anywhere

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. Apache IoTDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 ScioreAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.88
Rank#139  Overall
#24  Key-value stores
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbiotdb.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonApache Software FoundationSAP infoformerly Sybase
Initial release2019200720181992
Current release1.1.0, April 202317, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJDBC
Native API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoConcurrent data updates can be detected by the applicationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon SimpleDBApache IoTDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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