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DBMS > Amazon CloudSearch vs. RDF4J vs. ReductStore vs. TimescaleDB

System Properties Comparison Amazon CloudSearch vs. RDF4J vs. ReductStore vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonReductStore  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineRDF storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchrdf4j.orggithub.com/­reductstore
www.reduct.store
www.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchrdf4j.org/­documentationwww.reduct.store/­docsdocs.timescale.com
DeveloperAmazonSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ReductStore LLCTimescale
Initial release2012200420232017
Current release1.9, March 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBusiness Source License 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustC
Server operating systemshostedLinux
OS X
Unix
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchRDF4J infoformerly known as SesameReductStoreTimescaleDB
DB-Engines blog posts

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

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2 June 2020, TechTarget

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

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18 March 2019, Microsoft

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22 February 2022, businesswire.com

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31 July 2019, DataDrivenInvestor

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