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DBMS > Amazon CloudSearch vs. RRDtool vs. Sphinx vs. Teradata vs. Tkrzw

System Properties Comparison Amazon CloudSearch vs. RRDtool vs. Sphinx vs. Teradata vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonRRDtool  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIndustry 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.Open source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineTime Series DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­cloudsearchoss.oetiker.ch/­rrdtoolsphinxsearch.comwww.teradata.comdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­cloudsearchoss.oetiker.ch/­rrdtool/­docsphinxsearch.com/­docsdocs.teradata.com
DeveloperAmazonTobias OetikerSphinx Technologies Inc.TeradataMikio Hirabayashi
Initial release20121999200119842020
Current release1.8.0, 20223.5.1, February 2023Teradata Vantage 1.0 MU2, January 20190.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL V2 and FLOSSOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache Version 2.0
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 languageC infoImplementations in Java (e.g. RRD4J) and C# availableC++C++
Server operating systemshostedHP-UX
Linux
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Linux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynoyesno
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 infoExporting into and restoring from XML files possibleyesno
Secondary indexesyes infoall search fields are automatically indexednoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes infoSQL 2016 + extensionsno
APIs and other access methodsHTTP APIin-process shared library
Pipes
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC 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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlauthentication via encrypted signaturesnonofine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchRRDtoolSphinxTeradataTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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