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DBMS > Amazon CloudSearch vs. Fujitsu Enterprise Postgres vs. PlanetScale vs. Trafodion

System Properties Comparison Amazon CloudSearch vs. Fujitsu Enterprise Postgres vs. PlanetScale vs. Trafodion

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPlanetScale  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Scalable, distributed, serverless MySQL database platform built on top of VitessTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.postgresql.fastware.complanetscale.comtrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.postgresql.fastware.com/­product-manualsplanetscale.com/­docstrafodion.apache.org/­documentation.html
DeveloperAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyPlanetScaleApache Software Foundation, originally developed by HP
Initial release201220202014
Current releaseFujitsu Enterprise Postgres 14, January 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++, Java
Server operating systemshostedLinux
Windows
Docker
Linux
macOS
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyes
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntaxJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engineyes
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchFujitsu Enterprise PostgresPlanetScaleTrafodion
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Amazon CloudSearchFujitsu Enterprise PostgresPlanetScaleTrafodion
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