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DBMS > Amazon CloudSearch vs. GeoMesa vs. PostgreSQL vs. STSdb vs. WakandaDB

System Properties Comparison Amazon CloudSearch vs. GeoMesa vs. PostgreSQL vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.geomesa.orgwww.postgresql.orggithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgresql.org/­docswakanda.github.io/­doc
DeveloperAmazonCCRi and othersPostgreSQL Global Development Group infowww.postgresql.org/­developerSTS Soft SCWakanda SAS
Initial release201220141989 info1989: Postgres, 1996: PostgreSQL20112012
Current release4.0.5, February 202416.2, February 20244.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoBSDOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
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.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageScalaCC#C++, JavaScript
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
WindowsLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsnono
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client APIRESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requireddepending on storage layerpartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSdepending on storage layerSource-replica replication infoother methods possible by using 3rd party extensionsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernono
User concepts infoAccess controlauthentication via encrypted signaturesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoyes

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Amazon CloudSearchGeoMesaPostgreSQLSTSdbWakandaDB
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