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DBMS > Amazon SimpleDB vs. Apache Jena - TDB vs. RavenDB vs. StarRocks vs. TerarkDB

System Properties Comparison Amazon SimpleDB vs. Apache Jena - TDB vs. RavenDB vs. StarRocks vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonRavenDB  Xexclude from comparisonStarRocks  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 ScioreA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA 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 storeRDF storeDocument storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.62
Rank#83  Overall
#3  RDF stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­simpledbjena.apache.org/­documentation/­tdb/­index.htmlravendb.netwww.starrocks.iogithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­simpledbjena.apache.org/­documentation/­tdb/­index.htmlravendb.net/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsHibernating RhinosThe Linux Foundation infosince Feb 2023ByteDance, originally Terark
Initial release20072000201020202016
Current release4.9.0, July 20235.4, July 20222.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0commercial 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 languageJavaC#C++, JavaC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeyes infoRDF Schemasschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesno
SQL infoSupport of SQLnonoSQL-like query language (RQL)yesno
APIs and other access methodsRESTful HTTP APIFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
MySQL protocol
C++ API
Java API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC++
Java
Server-side scripts infoStored proceduresnoyesyesuser defined functionsno
Triggersnoyes infovia event handleryesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardinghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infoTDB TransactionsACID, Cluster-wide transaction availablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access control via Jena SecurityAuthorization levels configured per client per databaseRole based access control and fine grained access rightsno

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More resources
Amazon SimpleDBApache Jena - TDBRavenDBStarRocksTerarkDB
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