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DBMS > Amazon CloudSearch vs. Hawkular Metrics vs. PostgreSQL

System Properties Comparison Amazon CloudSearch vs. Hawkular Metrics vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelSearch engineTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
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
Score1.79
Rank#133  Overall
#12  Search engines
Score0.01
Rank#371  Overall
#39  Time Series DBMS
Score638.91
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.hawkular.orgwww.postgresql.org
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.postgresql.org/­docs
DeveloperAmazonCommunity supported by Red HatPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201220141989 info1989: Postgres, 1996: PostgreSQL
Current release16.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaC
Server operating systemshostedLinux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.
Secondary indexesyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensions
APIs and other access methodsHTTP APIHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on Cassandrapartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchHawkular MetricsPostgreSQL
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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