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DBMS > Amazon CloudSearch vs. H2 vs. RRDtool

System Properties Comparison Amazon CloudSearch vs. H2 vs. RRDtool

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonH2  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.h2database.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.h2database.com/­html/­main.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperAmazonThomas MuellerTobias Oetiker
Initial release201220051999
Current release2.2.220, July 20231.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAll OS with a Java VMHP-UX
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyes infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIJDBC
ODBC
in-process shared library
Pipes
Supported programming languagesJavaC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchH2RRDtool
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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's CloudSearch Stiffens Competition for Search as a Service Providers
26 April 2012, InfoQ.com

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16 April 2012, Forbes

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