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DBMS > Amazon DocumentDB vs. Fujitsu Enterprise Postgres vs. Kyligence Enterprise

System Properties Comparison Amazon DocumentDB vs. Fujitsu Enterprise Postgres vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.postgresql.fastware.comkyligence.io/­kyligence-enterprise
Technical documentationaws.amazon.com/­documentdb/­resourceswww.postgresql.fastware.com/­product-manuals
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKyligence, Inc.
Initial release20192016
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.no
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBFujitsu Enterprise PostgresKyligence Enterprise
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