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DBMS > Amazon DocumentDB vs. Kinetica vs. Machbase Neo vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. Kinetica vs. Machbase Neo vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKinetica  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFully vectorized database across both GPUs and CPUsTimeSeries DBMS for AIoT and BigDataWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSTime 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 modelsSpatial DBMS
Time Series DBMS
Document 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
Score1.91
Rank#124  Overall
#22  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.kinetica.commachbase.comwww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.kinetica.commachbase.com/­dbmswww.postgresql.org/­docs
DeveloperKineticaMachbasePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2019201220131989 info1989: Postgres, 1996: PostgreSQL
Current release7.1, August 2021V8.0, August 202316.4, August 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree test version availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC, C++CC
Server operating systemshostedLinuxLinux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) 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 replicationselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infovolatile and lookup tableno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBKineticaMachbase Neo infoFormer name was InfinifluxPostgreSQL
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Conferences, events and webinars

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