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DBMS > Amazon DocumentDB vs. Apache Jena - TDB vs. Dgraph vs. etcd vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. Apache Jena - TDB vs. Dgraph vs. etcd vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDgraph  Xexclude from comparisonetcd  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDistributed and scalable native Graph DBMSA distributed reliable key-value storeWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRDF storeGraph DBMSKey-value storeRelational 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
Score1.91
Rank#132  Overall
#24  Document stores
Score3.75
Rank#84  Overall
#3  RDF stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbjena.apache.org/­documentation/­tdb/­index.htmldgraph.ioetcd.io
github.com/­etcd-io/­etcd
www.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesjena.apache.org/­documentation/­tdb/­index.htmldgraph.io/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.postgresql.org/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsDgraph Labs, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2019200020161989 info1989: Postgres, 1996: PostgreSQL
Current release4.9.0, July 20233.4, August 201916.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyes infoRDF Schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnonononoyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
JSON over HTTP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia event handlernoyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyespartitioning 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 replicasnoneSynchronous replication via RaftUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-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)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoTDB TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesAccess control via Jena Securityno infoPlanned for future releasesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBApache Jena - TDBDgraphetcdPostgreSQL
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