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

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

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineDocument store
Object oriented DBMS
RDF storeTime 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
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchorigodb.comrdf4j.orgwww.timescale.com
Technical documentationdocs.aws.amazon.com/­cloudsearchorigodb.com/­docsrdf4j.org/­documentationdocs.timescale.com
DeveloperAmazonRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release20122009 infounder the name LiveDB20042017
Current release2.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open 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 languageC#JavaC
Server operating systemshostedLinux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesnumerics, 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.no infocan be achieved using .NETyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP API.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.NetJava
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoclient side managed; servers are not synchronizednoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes 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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesRole based authorizationnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchOrigoDBRDF4J infoformerly known as SesameTimescaleDB
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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4 February 2013, Paul Andlinger

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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

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

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

Building a PLG motion on top of usage-based pricing
13 March 2023, TechCrunch

provided by Google News

GraphDB Goes Open Source
27 January 2020, iProgrammer

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TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4 April 2024, PR Newswire

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, businesswire.com

SQL and TimescaleDB. This article takes a closer look into… | by Alibaba Cloud
31 July 2019, DataDrivenInvestor

provided by Google News



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