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DBMS > Amazon CloudSearch vs. Citus vs. PostgreSQL vs. Rockset

System Properties Comparison Amazon CloudSearch vs. Citus vs. PostgreSQL vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCitus  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelSearch engineRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­cloudsearchwww.citusdata.comwww.postgresql.orgrockset.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.citusdata.comwww.postgresql.org/­docsdocs.rockset.com
DeveloperAmazonPostgreSQL Global Development Group infowww.postgresql.org/­developerRockset
Initial release201220101989 info1989: Postgres, 1996: PostgreSQL2019
Current release8.1, December 201816.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++
Server operating systemshostedLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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.yes infospecific XML type available, but no XML query functionalityyes infospecific XML-type available, but no XML query functionality.no infoingestion from XML files supported
Secondary indexesyes infoall search fields are automatically indexedyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes infostandard with numerous extensionsRead-only SQL queries, including JOINs
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingpartitioning by range, list and (since PostgreSQL 11) by hashAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.nono
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon CloudSearchCitusPostgreSQLRockset
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