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DBMS > Amazon CloudSearch vs. GeoMesa vs. SAP SQL Anywhere vs. STSdb

System Properties Comparison Amazon CloudSearch vs. GeoMesa vs. SAP SQL Anywhere vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineSpatial DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.geomesa.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.geomesa.org/­documentation/­stable/­user/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonCCRi and othersSAP infoformerly SybaseSTS Soft SC
Initial release2012201419922011
Current release5.0.0, May 202417, July 20154.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.noyes
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP APIADO.NET
HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or Perlno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requireddepending on storage layernonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSdepending on storage layerSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes
User concepts infoAccess controlauthentication via encrypted signaturesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchGeoMesaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSTSdb
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
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21 October 2014, AWS Blog

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19 November 2014, AWS Blog

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